JP4636704B2 - Image area evaluation device, image area evaluation method, and program recording medium therefor - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image area evaluation apparatus, an image area evaluation method, and a program recording medium using a geographic information system (GIS). The present invention relates to an evaluation method and an image evaluation device.
[0002]
[Prior art]
Based on the fixed asset evaluation standards established by the Ministry of Home Affairs, the site evaluation is determined by the location conditions of the residential land based on the line price facing the site (“Fixed Asset Evaluation Standard Commentary (Land)”) Editor: Asset Evaluation Office, Ministry of Home Affairs; Publisher: Local Finance Association.
[0003]
The calculation method is determined by standards such as the depth price correction ratio method, the lateral route effect addition method, the two-way route effect addition method, the score calculation method for irregularly shaped land, no route land, or residential land with a narrow frontage, etc. There is an image area calculation method, and the image area evaluation method is used to obtain the score of the image area.
Normally, the number of scores of the place of drawing is decided by using the one with a high score, but some governments adopt the one with a low score in consideration of reducing the property tax of residents.
[0004]
Conventionally, this image area evaluation has been done manually by measuring the area and depth of the area based on the area map, adding the effects of side and two-way roads, irregularly shaped land, no road area, or residential land with a narrow frontage, etc. The score was calculated.
There is also known a system that performs image area evaluation by previously storing the coordinates of the image area in a system using a geographic information system and designating a frontage as a reference for the image area evaluation.
[0005]
[Problems to be solved by the invention]
However, the conventional image area evaluation method and system have a large amount of manual work, and there is a limit to processing a plurality of image areas collectively.
In addition, since the number of scores of the plot depends on the line price facing the frontage, when the plot faces two or more routes, the number of scores depends on which route facing the plot Will change. The selection of the frontage was made after confirming all the line price information facing the painting area. For this reason, only those who are familiar with the fixed asset evaluation criteria could perform the site evaluation properly.
[0006]
Furthermore, automating the frontage selection has the following problems.
When an old-fashioned Nagaya-style drawing area faces two lines, the long side of the drawing area faces a low-priced line and the short side faces a high-priced line In some cases, if the frontage is designated on the route side with a higher line price, the image evaluation may be lowered.
Further, in this case, since the image area faces two routes, the use value of the land becomes high. A side route effect addition method or a two-way route effect addition method for evaluating the utility value of the other route based on the positional relationship with the front route is adopted as the route on the side where the frontage is designated. In view of these conditions, it is necessary to perform calculation when the frontage is designated for each route, and to compare the number of final scores, it is not possible to perform an appropriate site evaluation. Further, in the case of an image area that is surrounded by routes on three or more sides, not only the side route effect addition method but also the two way route effect addition method is adopted, and the conditions become more difficult.
[0007]
In addition, in the image area evaluation in the case of including a so-called corner-cut image area that lacks the corner that touches the front line and the side line, the assumed corner is assumed, so the coordinates of the missing angle are obtained. It is necessary to calculate the number of scores after correcting.
And as mentioned above, some governments adopt a low score in consideration of reducing the property tax of residents.
[0008]
Conventionally, it has been difficult to automatically perform image area evaluation taking into account all of the above complicated image area conditions.
Therefore, an object of the present invention is to solve these conventional problems, and to enable the image area evaluation apparatus, image area, which can automatically perform the image area evaluation automatically even if the person is not familiar with the fixed asset evaluation standard. To provide an evaluation method and a program recording medium thereof.
[0009]
[Means for Solving the Problems]
In order to achieve the above object, the first aspect of the present invention provides image map information including image area information and route map information including line information related to the line price. Thus, the image area evaluation device automatically calculates the image area score using a computer.
[0010]
This device derives the image area condition including the image area condition related to the area of the image area by associating the image area information of the image area with the route information of the route close to the image area. Based on this, a measurement unit for deriving the correction rate of the score of the image area and an evaluation unit for calculating the score of the image area using the image area condition, the correction rate, and the line price are provided.
According to the first aspect of the present invention, the ground condition including the ground condition relating to the frontage and the correction factor are automatically calculated by associating the route information related to the line price with the ground information, and the route Since the road price is related to the information, the number of points of the drawing place is automatically calculated. Therefore, even if the person is not familiar with the fixed asset evaluation standard, the image area evaluation can be automatically performed appropriately.
[0011]
According to claim 2 of the present invention, the route information and route value are extracted from the route map information and the image corresponding to the route information from the route map information before deriving the image condition. It further includes a selection unit that extracts information and adjacent road information.
According to the second aspect of the present invention, the route information and route price to be evaluated by the selection unit, the image information corresponding to the route information and the adjacent road information can be extracted together, and the route not to be evaluated. Since the information and the line price can be excluded, it is possible to speed up the automatic calculation processing of the image area evaluation.
[0012]
In claim 3 of the present invention, in claim 1 or 2, the measuring unit assigns route information of a route facing the image area to a boundary line of the image region facing the route. When there is only one boundary line to which route information is assigned and route information is determined, it is assumed that the frontage has been specified, and the ground conditions regarding the frontage are determined, and there are multiple borders to which route information is assigned Calculates the number of scores for the area when each of the plurality of boundary lines is a frontage candidate for the background and each of the frontage candidates is a frontage, and the frontage candidate having the optimum number of scores among the calculated scores And a frontage specifying means for specifying a frontage condition relating to the frontage.
[0013]
According to the third aspect of the present invention, even when there are a plurality of frontage candidates for one image area as in the case of a side road, a two-way road, a three-way road or more, the optimum frontage candidate is automatically specified as a frontage. Can do.
According to a fourth aspect of the present invention, in the third aspect, the frontage specifying means sets, for each route in the vicinity of the image area, one line and a boundary line of the image area facing the one line as sides facing each other. Means for assigning the route information assigned to the one route to the polygon, and assigning the route information to the boundary line that matches the side of the polygon to which the route information is assigned among the borders of the image And means for defining the boundary line of the image area facing the.
[0014]
According to the fourth aspect of the present invention, route information such as a route number is first assigned to a polygon and then assigned to a side of the image area. As a result, the route information that was not originally related to the border of the drawing area and the border of the drawing face is related, and the border of the drawing face facing the route is the frontage candidate. Can be automatically recognized.
[0015]
According to claim 5 of the present invention, in claim 3, the frontage specifying means is configured according to the shape of the background including the case where the shape of the background is a corner cut shape and the case where the specified frontage is non-linear. The method further includes the step of correcting the shape of the frontage.
According to the fifth aspect of the present invention, the shape of the frontage is automatically corrected according to the shape of the background even if it is a non-linear frontage such as a corner cut.
[0016]
According to claim 6 of the present invention, in any one of claims 3 to 5, the measurement unit includes means for obtaining an assumed shaping area of the image area when the frontage candidate is a frontage, and a depth of the assumed shaping area. Means for calculating the percentage of dredged areas, and means for determining whether or not the image area faces a side route, and whether or not the image area faces a two-way route. And a means for calculating the score of the image area in consideration of a correction factor corresponding to the above.
[0017]
According to the sixth aspect of the present invention, the number of scores is automatically corrected at a correction rate corresponding to various image conditions.
According to a seventh aspect of the present invention, in any one of the first to sixth aspects, the score of the image area is automatically calculated sequentially for one or more designated image areas.
According to the seventh aspect of the present invention, the number of scores of a plurality of image areas is automatically calculated sequentially.
[0018]
According to claim 8 of the present invention, in any one of claims 1 to 7, the evaluation unit sequentially calculates the number of scores for one or more drawings, and then the previous correction rate and the current number of scores are calculated. Warning means for giving a warning when the difference from the correction factor is a predetermined value or more is further provided.
According to the eighth aspect of the present invention, system errors and data errors can be eliminated in the calculation of the score.
x The present invention also provides a field evaluation method realized by this apparatus and a computer-readable recording medium on which a program for executing this method is recorded.
[0019]
DETAILED DESCRIPTION OF THE INVENTION
Embodiments of the present invention will be described below with reference to the drawings.
FIG. 1 is a schematic configuration diagram of an image evaluation device according to an embodiment of the present invention. In the figure, the image area evaluation apparatus 1 stores image area information and image area information for storing image area information and information on roads facing the image area (hereinafter referred to as adjacent road map information). An information base 3, a route information database 4 for storing route information related to the route price, a GIS (map information system) engine 5, and a correction rate for storing correction rates corresponding to the image area conditions as a table In order to compare the table storage unit 6 with the correction rate determined at the previous image area evaluation, the previous correction rate is stored, and the correction rate determined for the image area to be evaluated this time is stored. A correction rate storage unit 7 to be stored, a display unit 8, an evaluation target region storage unit 9, and a bus 10 for connecting them are provided. This image area evaluation apparatus 1 can be configured by using a commercially available personal computer and its peripheral devices and mounting a GIS engine 5 which is a program for realizing the image area evaluation method according to the present invention. The image area information database 3, the route information database 4, the correction rate table storage unit 6, the correction rate storage unit 7, the display unit 8, and the evaluation target area 9 may be provided outside the image area evaluation device 1.
[0020]
FIG. 2 is a block diagram showing functions of the GIS engine 5 in the image area evaluation apparatus 1. In the figure, the GIS engine 5 includes a selection unit 21, a measurement unit 22, and an evaluation unit 23.
The selection unit 21 selects an area to be evaluated (hereinafter referred to as an evaluation target area) from the route map information in the route information database 4 in response to a selection command given by a person in charge of image area evaluation. The evaluation target area may be an area including only one image area to be evaluated, or may be a single block surrounded by the route or a block that is not completely surrounded by the route but is substantially surrounded by the route. Good. When one block is an evaluation target area, a plurality of image areas are included in one evaluation target area.
[0021]
The evaluation target area storage unit 9 reads out and stores the route number and the route price of the route in the evaluation target area selected by the selection unit 21 from the route information database 4 (see FIG. 1) and stores the same in the same evaluation target area. The image area map information and the adjacent road map information are read from the image area map information database 4 (see FIG. 1) and stored.
The measurement unit 22 associates the route information of the route close to the image area with the image area information in the evaluation target area. The route information is a route number in the embodiment to be described later, but is not limited to the number, and may be another symbol or code. In the following description, it is assumed that the route information is a route number. Each line number is associated with a line price in advance. By associating the route number with the image area information, the image area conditions including the image area conditions (i.e., the frontage length and the frontage position) for each of the image areas in the evaluation target area are derived as described in detail later. Is done. A method for associating route numbers with image area information will be described in detail later.
[0022]
The evaluation unit 23 determines a correction rate corresponding to the derived image condition from the correction rate table stored in the correction rate table storage unit 6 (see FIG. 1). The evaluation unit 23 also uses the image area condition, the correction rate, and the line price calculated by the measurement unit 22 to evaluate each of the image areas in the evaluation target area based on, for example, a fixed asset evaluation standard defined by the Ministry of Home Affairs. Calculate the score. If the evaluation target area corresponds to only one image area, the number of scores for that one image area is automatically calculated. If the evaluation target area corresponds to a plurality of image areas, the score for the plurality of image areas is sequentially calculated. Calculated automatically.
[0023]
The measuring unit 22 includes a route specifying unit 24, a frontage specifying unit 25, and a condition calculating unit 26.
The route specifying means 24 assigns a route number of a route facing each of the plots in the evaluation target area to the border of the plot and facing the route, and the adjacent route An allocation unit 241 and a route value extraction unit 242 are provided. The adjacent route allocation means 241 extracts the route number of the route corresponding to the road adjacent to each of the areas from the route information database 4 (see FIG. 1), and will be described in detail later with reference to FIG. And assign it to the border of the drawing area. The route valence extraction means 242 extracts the route valence associated with each of the extracted route numbers from the route information database 4.
[0024]
The frontage specifying unit 25 specifies a frontage for each image area in which the route number is assigned to the boundary line of the image area by the route specifying unit 24. The frontage line segment specifying unit 251 and the frontage correction unit 252 And. The image boundary line segment specifying means 251 determines the image area condition for the frontage as if the frontage is specified for each of the business sites in which the route number is assigned to the borderline, when there is only one borderline to which the route number is assigned. When there are a plurality of boundary lines to which route numbers are assigned, each of the plurality of boundary lines is defined as a frontage candidate for the area, and the number of scores of the area when each of the frontage candidates is defined as a frontage. , For example, according to the fixed asset evaluation standard defined by the Ministry of Home Affairs, among the calculated scores, the frontage candidate having the optimum number of ratings is specified as the frontage of the drawing area, and the drawing area condition relating to the frontage is determined. The front edge correction unit 252 corrects the shape of each front edge of the image area in the evaluation target area according to the shape of the image area including whether the image area is a corner cut and whether the front edge is non-linear.
[0025]
The condition calculating unit 26 includes a frontage length calculating unit 261, a remote area ratio calculating unit 262, and a route position specifying unit 263.
The frontage length calculating unit 261 calculates the frontage length corrected by the frontage correction unit 252.
The remote area ratio calculating means 262 calculates the depth of the image area and the remote area ratio when the frontage candidate is the frontage. For this purpose, the remote area ratio calculating unit 262 includes an assumed shaped land calculating unit 2621, an image map area calculating unit 2622, and a depth determining unit 2623. The assumed shaping place calculation means 2621 forms a rectangular assumed shaping place that surrounds the image area and has a front edge as one side, and calculates the area of the assumed shaping place. The image map area calculating means 2622 calculates the area of the image area. The depth determination means 2623 obtains the depth of the image area and the remote area ratio based on the assumed shaping area.
[0026]
The route position specifying means 263 specifies the positional relationship between each image area and the route. That is, the image area conditions such as whether the route is in front of the image area, on the side of the image area, or on the two-way road are specified. The image area condition obtained by the route position specifying means 263 is notified to the evaluation unit 23 together with the frontage length calculated by the frontage length calculation means 261 and the remote area ratio calculated by the remote area ratio calculation means 262.
[0027]
The evaluation unit 23 calculates the correction rate corresponding to the image area conditions such as the frontage length, the ratio of the remote area, and the positional relationship between the depth and the route from the correction rate stored in the correction rate table storage unit 6 (see FIG. 1). A correction rate means 231 that reads out and determines the correction rate of the image area, and a comparison unit 232 that compares the correction rate of the previous time with the current correction rate after calculating the score of each image area in the evaluation target area. And a warning means 233 used in the comparison unit 232 for giving a warning when the difference between the previous correction rate and the current correction rate is equal to or greater than a predetermined value.
[0028]
3 to 6 are flowcharts for explaining the image area evaluation method using the image area evaluation device shown in FIG. FIG. 7 is an explanatory diagram showing the flow of processing for calculating the number of points of the image by this method. Hereinafter, the image evaluation method according to the embodiment of the present invention will be described with reference to FIGS.
FIG. 3 is a flowchart for explaining the outline of the operation of the GIS engine. As shown in the figure, route map information as shown in FIG. 7B is read from the route information database 4 in step S31.
[0029]
Next, in step S32, the map area map information and the adjacent road map information within the same range as the route map information shown in FIG. 7B as shown in FIG. read out. The read route map information, image area map information, and adjacent road map information are superimposed and displayed on the display unit 8 as shown in FIG.
Next, in step S <b> 33, the person in charge selects an evaluation target area from the information displayed on the display unit 8 using the selection unit 21. It is also possible to select an area 71 of one block surrounded by routes 72, 73, 74 and 75 on the map as shown in FIG. 7B, or one or a plurality of image areas in the block Can also be selected. Even in a region that is not completely surrounded by a route, an image area and a road that are in contact with a part of the route may be selected. The selection is performed by clicking the area to be selected displayed on the screen with the mouse or by inputting arbitrary coordinates in the area from the keyboard. Thus, it is possible to eliminate routes that are not related to the image area in the evaluation target area, and to speed up the automatic calculation process.
[0030]
Next, in step S34, the route specifying means 24 and the frontage specifying means 25 in the measurement unit 22 relate the route numbers of routes close to the image area to the boundary lines of the image areas in the evaluation target area. This method of association will be described in detail later with reference to FIG. The route number and the route price associated with the route in the selected evaluation target area are stored in the evaluation target area storage unit 9 (FIG. 1). In FIG. 7B, reference numerals 03501, 03502, 0501, and 0502 are route numbers.
[0031]
Next, in step S35, it is determined whether the number of scores has been calculated for all the image areas in the evaluation target area. If the determination result is negative, in step S36, the border line of the image area is determined as a frontage candidate for one image area that has been associated with the route number in step S34 but has not yet been calculated. Then, the correction rate corresponding to the image area condition based on this is determined with reference to the correction rate table storage unit 6 (see FIG. 1), and the frontage with the optimum score is specified. The calculation of the number of scores is performed according to, for example, the fixed asset evaluation standard set by the Ministry of Home Affairs using the site conditions, the correction rate, and the line price at the specific frontage. The optimum score is taken as the evaluation result of the image area evaluated this time. The image area conditions based on the frontage candidates include an image area condition related to the frontage and other image area conditions. The image area conditions for the frontage are the frontage length and the frontage position. The frontage length is calculated by the frontage correction unit 252 and the frontage length calculation unit 261 in FIG. The frontage specifying operation in step S36 will be described in detail later with reference to FIG. The other image area conditions are derived by the remote area ratio calculating means 262 and the route position specifying means 263 shown in FIG.
[0032]
Next, in step S37, the correction rate of the number of scores in the specific frontage is stored in the correction rate storage unit 7 in order to compare with the correction rate obtained in the previous image evaluation. The correction factor stored this time is used as the correction factor at the previous image evaluation in the next image evaluation. The correction factor determined at the time of image evaluation before two times before may be stored as necessary, or may be discarded if unnecessary.
[0033]
Steps S36 and S37 are repeated for all the images in the evaluation target area.
If it is determined from the determination result of step S35 that the number of scores has been calculated for all the image areas, the evaluation process for all the image areas in the evaluation target area ends.
FIG. 4 is a flowchart for explaining in detail the operation of step S34 in FIG. In the figure, in step S41, route map information is superimposed on adjacent road map information in the evaluation target area. The adjacent road map information is map information of the road portion excluding the image area in the image area map information as shown in FIG. The route map information is shown in FIG. A state in which these pieces of information are superimposed is shown in FIG.
[0034]
Next, in step S42, a polygon (polygon) is created with a line segment that overlaps the line as one side for all the routes in the evaluation target area, and a line segment that faces the boundary line of the painting area as the other side. This will be described with reference to (d) of FIG. 7. For example, a polygon 77 having a line segment that overlaps with the route of route number 0501 as one side and a line segment that overlaps the boundary line 76 of the painting area 79 facing the other side as a other side. It is created as information on a layer different from the adjacent road map information and route map information. In order to create this polygon, auxiliary lines 771 and 772 connecting the corners of the drawing area and the intersections of the lines intersecting are drawn. A polygon is formed by a line segment that overlaps the two opposite sides and a line segment that overlaps these auxiliary lines. Such a polygon is created corresponding to each side of all the image areas in the evaluation target area. It should be noted that a line segment that overlaps the boundary line 762 of the corner portion of the image area 79 also faces a line segment that overlaps the line number 0501. In this way, including the case where the boundary line of the image area facing the line segment that overlaps the line is non-linear, a polygon is formed with one line and the boundary line of the image area facing that line as sides facing each other. The In addition, when the route facing the border of the image area is non-straight, the non-straight route is assumed to be connected to a number of small straight lines for information processing. A polygon is formed by the border of the image area facing the route.
[0035]
Next, in step S43 of FIG. 4, a route number of the route is assigned to each polygon having a side that overlaps the route. This will be described with reference to FIG. 7. In FIG. 7D, for example, the polygon 77 has a side overlapping the route 72, and the route number 0501 of the route 72 is assigned to the polygon 77. Corresponding route numbers are similarly assigned to other polygons.
[0036]
Finally, in step S44 of FIG. 4, for all the polygons in the evaluation target area, the route numbers assigned to the polygons are assigned to the boundary lines of the image areas that overlap one side of each polygon. This will be described with reference to FIG. 7. For example, the route number 0501 assigned to the polygon 77 in step S43 is assigned to the boundary line 76 of the areas 78 and 79 that overlap one side of the polygon 77. Corresponding route numbers are assigned in the same manner to the boundary lines of other image areas.
[0037]
FIG. 5 is a flowchart for explaining the frontage specifying operation in step S36 of FIG. 3 in detail. In the figure, in step S51, the boundary line of the image area related to the route in step S34 in FIG. 3 is set as a frontage candidate.
Next, in step S52, frontage correction is performed for each of the frontage candidates. The frontage correction is a frontage when the shape of the image area is not a rectangle but is assumed to be a rectangle by extending the corner-cut portion in the case of a corner cut such as the image areas 78 and 79 in FIG. Or when the frontage is in a non-linear state, it is a straight frontage that connects the short part of the frontage with a straight line.
[0038]
In step S53, it is determined whether there is only one frontage candidate.
In the case of only one, in step S55, the frontage candidate is determined as the frontage, and the image area condition of the image using the frontage as a frontage is calculated. In step S56, a correction rate corresponding to the image condition is determined, and the number of scores is calculated.
If it is determined in step S53 that there are a plurality of frontage candidates, it is determined in step S54 whether the number of scores has been calculated for all frontage candidates. The image area condition is calculated.
[0039]
Next, in step S58, a correction rate according to the above-mentioned image condition is determined, the score is calculated, and the process returns to step S54.
If it is determined in step S54 that the number of grades has been calculated for all the frontage candidates, in step S59, the frontage candidate that has the optimum number of scores from the number of scores for each frontage candidate is specified as a frontage.
[0040]
FIG. 6 shows the correction ratio in the current image area evaluation and the correction ratio in the previous image area evaluation after it is determined in step S35 in FIG. 3 that the number of scores has been calculated for all the image areas in the evaluation target area. 6 is a flowchart for explaining an operation of issuing a warning when the difference between the value and the value is equal to or greater than a predetermined value. In the figure, in step S61, the difference between the previous correction rate and the current correction rate corresponding to the image area condition in each image area is compared. In step S62, a warning is issued if the difference is greater than or equal to a predetermined value. . If the difference between the correction factors is equal to or greater than a predetermined value, it is considered that some abnormality such as a program error or a processing error has occurred, so it is necessary to review the program or re-execute the processing. The warning is made, for example, by displaying a warning character on the display unit 6 in a conspicuous color, by flashing, or making a sound. Instead of comparing the correction factors, if the previous ground conditions are saved, the current ground conditions are compared with the previous ground conditions, and a warning is issued if the difference is greater than or equal to a predetermined value. May be issued.
[0041]
As described above with reference to FIGS. 3 to 7, once the person in charge selects an evaluation target area, the number of scores of all the image areas in the evaluation target area is automatically and collectively calculated by the GIS engine 4. .
The calculation of the number of scores in step S36 in FIG. 3, step S56 in FIG. 5 or step S58 is performed based on a predetermined rule. The calculation methods based on this predetermined rule include the depth price correction ratio method, the side route effect addition method, the two-way route effect addition method, irregular land, no roads, and residential land with narrow frontage. Yes (see "Explanation of Fixed Asset Valuation Standards (Land)" above).
[0042]
For example, in the processing of step S35, step S56, or step S58, whether the frontage length, depth, and ratio of the background when the frontage candidate is a frontage, and whether the positional relationship between each of the background and the route is a square road The score of the image area is calculated according to the image area conditions such as the side road or the two-way road.
FIG. 8 is a diagram for explaining the flow of the calculation of the number of field scores described above more easily. In FIG. 8A, there are a plurality of image areas such as the image areas 78 and 79 in the evaluation target area 71 surrounded by the routes 72, 73, 74 and 75. The route numbers of routes 72, 73, 74, and 75 are 03501, 0501, 0502, and 03502, respectively.
[0043]
In FIG. 8B, route numbers are assigned to all the image areas in the evaluation target area 71. Since the image area 78 is a corner area, it faces the side road, and therefore, two line numbers 03501 and 0501 are assigned. Similarly, two route numbers 03502 and 0501 are also assigned to the image area 79. The image areas 80 and 81 each face only one route.
[0044]
FIG. 8C shows a corner cutting process for an image having a corner cutting shape and a method for creating a frontage and a depth. In this example, the boundary lines to which the route numbers 0501 and 03501 of the image area 78 are assigned are two frontage candidates. The image area 78 is a corner area and has a corner cut portion 85. The lengths of the frontage candidates are h and w, respectively, assuming that there are no corner cuts. When calculating the number of scores for the image area, calculation is performed based on h and w, a frontage candidate having an appropriate number of scores is determined as a frontage, and the length is set as the frontage length. Also, the length of the line segment perpendicular to the frontage in the image area is defined as the depth. Normally, the frontage that faces the route with the highest line price is used as the frontage, but depending on the administration, the one with a low score may be adopted to reduce the property tax of residents.
[0045]
According to the present invention, there is also provided a computer-readable program recording medium in which a program for executing the above-described image evaluation method is recorded.
The present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the spirit of the invention described in the claims. For example, the evaluation target area has been described as one block surrounded by a route, but it is also possible to select an arbitrary area such as one image area or a plurality of blocks instead.
[0046]
【The invention's effect】
As is clear from the above description, according to the present invention, the route number associated with the route valence of the route close to the image area is related to the image area information indicating the position of the image area in the evaluation target area. Thus, since the number of scores of the image area is automatically calculated, it is possible to obtain an effect that the image area evaluation can be automatically performed properly even if the person is not familiar with the fixed asset evaluation standard.
[Brief description of the drawings]
FIG. 1 is a schematic configuration diagram of an image evaluation device according to an embodiment of the present invention.
FIG. 2 is a block diagram showing a configuration example of a GIS engine in the image evaluation device.
FIG. 3 is a flowchart for explaining the outline of the operation of the GIS engine.
4 is a flowchart for explaining in detail the operation of step S34 in FIG. 3;
FIG. 5 is a flowchart for explaining in detail the operation of step S36 in FIG. 3;
FIG. 6 is a flowchart illustrating an operation for issuing a warning when the difference in correction rate is equal to or greater than a predetermined value according to the embodiment of the present invention.
FIG. 7 is an explanatory diagram of a flow of processing for calculating the number of site scores according to the embodiment of the present invention.
FIG. 8 is a diagram for explaining the flow of processing of the number of site scores according to the embodiment of the present invention in a more easy-to-understand manner.
[Explanation of symbols]
1 ... Image evaluation device
2 ... CPU
3 ... Place information database
4. Route information database
5 ... GIS engine
6 ... Correction rate table storage unit
7. Correction rate storage unit
8 ... Display section
9 ... Evaluation target area storage unit
21 ... Selection part
22 ... Measurement unit
23 ... Evaluation Department
24 ... Route identification means
25 ... Frontage specifying means
26: Condition calculation means
231 ... Correction rate means
232: Comparison unit
233 ... Warning means
241 ... Adjacent route assignment means
242 ... Route value extraction means
251 ... Image boundary line segment specifying means
252 ... Frontage correction means
261: frontage length calculating means
262 ... Remote area ratio calculation means
263 ... Route position specifying means
2621 ... Assumed shaping value calculation means
2622: Area on the image map calculating means
2623 ... Depth determination means

Claims (14)

An image area information database for storing image area map information including image area information;
A route information database for storing route map information including route information related to the route price;
A correction rate table storage unit for storing a correction rate for the number of scores corresponding to the image area conditions ;
An image including information about the frontage of the image area by associating route information of the route adjacent to the image area read from the route information database with the image area information of the image area read from the image area information database. The ground condition is derived, and based on the ground condition, the correction rate of the score corresponding to the ground is read from the correction rate table storage unit , and the ground condition, the correction rate, and the route information database are read out . A computer that calculates the score of the image area using the road price of the image area that has been read ;
With
When the computer derives the image area condition, for each route in the vicinity of the image area, the computer uses one line and a boundary line of the image area facing the one line as polygons facing each other. Assigning the route information assigned to the one route, assigning the route information to the boundary line that matches the polygonal side to which the route information is assigned, among the boundary lines of the image, and assigning the route information to the one route. Assign the route information to the border of the drawing area that faces the route as the facing border, and if there is only one border to which the route information is assigned, the frontage is specified If there are a plurality of boundary lines to which the route information is assigned, each of the plurality of boundary lines is defined as a frontage candidate for the frontage area, and the frontage candidate is determined. Each as a frontage The image locations scores number is calculated to determine the plots were conditions for a particular to該間port frontage candidates with scores optimal number of one of the number calculated score as frontage of the image areas of the case,
An image evaluation device that automatically calculates the number of evaluations of image features. The computer
Before deriving the image area condition, route information and line price are extracted from the route map information read out from the route information database, and the image area map information read out from the image area information database. claim 1 image land evaluation apparatus, wherein the benzalkonium to extract the plots were information and adjacent road information corresponding to the route information from. 3. The site evaluation according to claim 1, wherein the frontage candidate having the optimal score is a frontage candidate facing a route having the highest line value, or a frontage candidate having the lowest score. apparatus. When the computer derives the image condition,
Claim 1, the shape of the front Kigachi cases and the identified frontage corner cutting shape according to the shape of the image areas including the case is non-linear, characterized by the Turkey to correct the frontage shape The image evaluation apparatus as described in any one of -3. The computer
Based on the image area condition, when the correction rate of the number of scores corresponding to the image area is read from the correction factor table storage unit, whether or not the assumed shaping area of the image area when the front edge candidate is the frontage is obtained Alternatively, the depth of the image area and the ratio of the remote area are calculated based on the assumed shaping area , or the correction factor is read by determining whether the image area faces a side route or a two-way route. The image evaluation device according to any one of claims 1 to 4, wherein The computer
The image area evaluation apparatus according to claim 1, wherein the image area evaluation device sequentially and automatically performs one or more designated image areas when calculating the score of the image area. The computer
After calculating successively the score number for one or more image areas, for the score number to calculate the difference between the previous correction factor and this correction factor, to Turkey a warning if the difference is greater than a predetermined value The image evaluation device according to any one of claims 1 to 6, wherein: Image area information database that stores image area map information including image area information , route information database that stores route map information that includes route information related to the route price, and correction of the score corresponding to the image area conditions using the correction factor table storage unit that stores the rate, the rating number of plots were in the field locations evaluation method of calculating automatically,
By associating route information of routes close to the image area read from the route information database with image area information of the image area read from the image area information database, A step of deriving an image area condition including information , wherein for each route in the vicinity of the image area, a polygon having one line and a boundary line of the image area facing the one line as sides facing each other Assigning the route information assigned to the one route, assigning the route information to the boundary line that matches the polygonal side to which the route information is assigned, among the boundary lines of the image, and assigning the route information to the one route. Assign the route information to the border of the drawing area that faces the route as the facing border, and if there is only one border to which the route information is assigned, the frontage is specified Is It is assumed that the image area condition for the frontage is determined, and when there are a plurality of boundary lines to which the route information is assigned, each of the plurality of boundary lines is set as a frontage candidate for the image area, The number of scores of the image area when it is used as a frontage is calculated, and the frontage candidate having the optimum score number among the calculated scores is specified as the frontage of the background, and the image condition regarding the frontage is determined. Steps ,
Reading out the correction rate of the score of the image area corresponding to the image area condition from the correction rate table storage unit ;
Said image locations condition and the correction factor, and calculating a score number of the image areas with said line number of the image areas read from the route information database, and wherein the causing a computer to execute Image area evaluation method. 9. The site evaluation method according to claim 8, wherein the frontage candidate having the optimum score is a frontage candidate facing a route having the highest line value or a frontage candidate having the lowest score . The step of deriving the image area condition includes :
When assigning the route information to the border of the drawing area facing the route, the image includes a case where the shape of the drawing area is a corner cut shape and a case where the specified frontage is non-linear. The image evaluation method according to claim 8, further comprising a step of correcting the determined frontage according to a shape of the ground. The step of reading out the correction factor corresponding to the image area condition from the correction factor table storage unit obtains an assumed shaping area of the image area when the frontage candidate is a frontage , or the depth of the assumed shaping area whether seek and Kagechi rate, or whether said image areas is facing laterally route, or the image areas is determined whether faces the two-way path, corresponding to the image areas conditions reading the score number of auxiliary Tadashiritsu from the correction factor table storage unit, image locations, the evaluation method according to any one of claims 8-10, wherein the this.   The image area evaluation method according to any one of claims 8 to 11, wherein the calculation of the score of the image area is automatically performed sequentially for one or more designated image areas.   The method further comprises the step of issuing a warning when the difference between the previous correction rate and the current correction rate is greater than or equal to a predetermined value after sequentially calculating the score for one or more image areas. The field evaluation method according to any one of claims 8 to 12. A computer-readable recording medium in which a program for executing the image area evaluation method according to any one of claims 8 to 13 is recorded.

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