JP6496158B2 - Change detection system using aerial moving body acquisition information, change detection method using aerial moving body acquisition information, and program thereof - Google Patents

Description

  The present invention relates to a change detection system using airborne object acquisition information.

  A change in a feature (for example, a building) is displayed simultaneously with one image of the current fiscal year (hereinafter referred to as the current image) taken by an aircraft and one image (hereinafter referred to as the previous image) taken several years ago. The operator compares these images simultaneously and discriminates a feature having a change.

  However, since there are so many features, it is not easy for an operator to distinguish a feature having a change.

  For this reason, in recent years, a computer automatically compares the current image with the previous image to detect a change in the feature.

  For example, the photographic image interpretation work support system of Patent Document 1 displays two photographic image data having the same photographing date and time in the same interpretation area alternately and interprets visually different features.

JP 2001-338292 A

  However, as long as the building is new or demolished, it is sufficient to compare one image of this time with one image of the previous time, but there is one change in the surface, underground, sea, etc. It is difficult to predict the previous image and the current one image.

 Therefore, it is desirable to predict changes in the ground surface, underground, sea, etc. using a plurality of past satellite images, but these images are generally expensive.

  The present invention has been made in view of the above problems, and obtains a system capable of predicting changes in the ground surface, underground, sea, and the like using inexpensive past satellite images.

The present invention accumulates the aerial mobile object acquisition information from the aerial mobile object acquired a predetermined number of times within a predetermined period for each acquisition time per the predetermined period, and visually identifies the locations that have changed from the acquired information. A change detection system using aerial moving object acquisition information that displays an image for informing
An image database unit in which image information imaged based on the acquired information is classified and stored for each acquisition time per fixed period; and
An image superimposing unit that superimposes the image information of the image database unit in the order of acquisition old or new, and accumulates these in the image storage memory as an accumulation image for change detection (HEirpa);
The change detection accumulated image (HEirpa) in one of the image accumulation memories is displayed on the screen as a reference point setting image (KEirpa), and several reference points are defined in the reference point setting image (KEirpa). An image position adjustment unit for aligning the position of each change detection accumulated image (HAIRpa) in the image accumulation memory based on these reference points;
Furthermore, an accumulated image display unit is provided,
The accumulated image display unit includes:
A change detection mesh frame (HKWi) including a small mesh (hmi) that matches the mesh (mi) of the reference point setting image (KEirpa) in a region different from the reference point setting image (KEirpa) of the screen. Means for matching the vertical and horizontal sizes of the reference point setting image (KEirpa),
Means for sequentially specifying a small mesh (hmi) of the change detection mesh frame (HKWi);
All of the change detection accumulated images (HEirpa) are allocated, and the color value (Ii) of the mesh (mi) corresponding to the designated small mesh (hmi) in these change detection accumulated images (HEirpa) is extracted. Means,
And a means for synthesizing the extracted color values (Ii) and displaying the synthesized color value (Ii ′) on a small mesh (hmi) of the change detection mesh frame (HKWi) of the screen. .

  As described above, according to the present invention, the change detection mesh frame is displayed on the reference point setting image. For each small mesh of the change detection mesh frame, in the inexpensive change detection accumulated image for a plurality of years. The color value of the mesh is composited and displayed.

  For this reason, if there is any change, it is displayed different from the color of the reference point setting image KEirpa. Therefore, changes in the ground surface, underground, sea, etc. can be visually recognized at low cost.

It is a schematic block diagram of the change detection system using the microsatellite image of embodiment. It is explanatory drawing of a microsatellite image Eirpa. It is a specific explanatory drawing of the micro satellite image Eirpa of a film unit. It is a specific explanatory drawing of the micro satellite image Eirpa of a film unit. It is a specific explanatory drawing of the micro satellite image Eirpa of a film unit. It is explanatory drawing of the relevant information of a microsatellite image Eirpa. It is explanatory drawing of imaging | photography information JAi. It is explanatory drawing explaining the reference point setting image KEirpa and the change alerting | reporting image HGi of the screen of the display part 210 of this Embodiment. 5 is a flowchart for explaining change notification image HGi creation processing of an accumulated image display unit 200. 5 is a flowchart for explaining change detection image creation processing of an accumulated image display unit 200. It is explanatory drawing explaining the mesh frame for change detection HKWi and the change alerting | reporting image HGi of this Embodiment. It is explanatory drawing of the change alerting | reporting image HGi by the process of the accumulation image display part 200. FIG. It is a schematic block diagram of the stored image display part 200 of other embodiment.

  The following embodiments exemplify devices and methods for embodying the technical idea of the invention, and the technical idea of the invention is not limited to the following structure and arrangement. .

  The technical idea of the invention can be variously modified within the technical scope described in the claims. It should be noted that the drawings are schematic and the configuration of the apparatus and system is different from the actual one.

  In the present embodiment, the aerial mobile object acquisition information from the acquired aerial mobile object is accumulated at a predetermined time (for example, three times) within a predetermined period (for example, one week) for each acquisition time per fixed period. This is a change detection system that uses airborne object acquisition information that displays an image for visually informing the location that has changed from the acquired information.

  This aerial moving body may be an artificial satellite or an aircraft. However, in recent years, there are micro satellites that can be launched at low cost, and this micro satellite will be described.

  The aerial moving body acquisition information is described as a color image from a microsatellite (hereinafter referred to as microsatellite image Eirpa).

  The micro-satellite Ei is 150 kg or less, but in the embodiment, the description will be made using a satellite having a weight of about 10 kg and a side of about 30 cm. The description will be made assuming that the resolution is about 6 m.

  That is, the microsatellite used in the present embodiment is inexpensive because it is lightweight and compact. Therefore, the micro satellite image Eirpa (with a resolution of about 6 m) can be provided to the user at a low cost. In the future, multiple launches are being studied, and it is possible to shoot the same area twice a day or once in the same area every three days.

  In this embodiment, this microsatellite image Eirpa is accumulated over, for example, several years or decades, and changes in the surface, underground, sea, etc. are informed from this accumulated image, and changes that occur in the future are predicted. It is possible to make it.

  FIG. 1 is a schematic configuration diagram of a change detection system using a microsatellite image according to an embodiment.

  As shown in FIG. 1, the change detection system using a microsatellite image according to the embodiment has a microsatellite image Eirpa from a microsatellite Ei that circulates about 500 km (400 km to 800 km, preferably 500 km) from the earth surface. Is received by the base station 10 and the micro satellite image Eirpa from the base station 10 is acquired by the service center 100.

  Although the above-mentioned microsatellite Ei is one or plural, in the present embodiment, for example, it will be described as one microsatellite Ei on the assumption that the same area is photographed once every three days at intervals capable of photographing.

  In the micro satellite image Eirpa, “i” indicates a satellite number, “r” indicates a shooting year number, “p” indicates the number of shooting times per week, and “a” indicates a film number. Show.

  The first-day microsatellite image Eirpa is called the first-day microsatellite image E1r1a, the third-day microsatellite image Eirpa is called the third-day microsatellite image E1r3a, and the sixth-day The microsatellite image Eirpa for is called the 6th day microsatellite image E1r6a.

  In other words, when taking one week as an example, the sixth-day microsatellite image E1r6a is the latest, and the first-day microsatellite image E1r1a is the oldest.

  These microsatellite images Eirpa are continuous images as shown in FIG. 2, and the shooting position (GPS), shooting time (date, time, etc.) of the microsatellite Ei for each film is added to the satellite image additional information. (Also referred to as acquisition additional information).

  These images are acquired by the base station 10 at 8:00 am and will be described later provided in a change detection system (hereinafter referred to as a change detection system 110) using a micro satellite image that is a computer system in the service center 100. It is assumed that it is already stored in the microsatellite image database unit 120.

  Since 2020 is the current year, the shooting year “r” is indicated as “0”, and since the year 2019 is one year before this year, the shooting year “r” is indicated as “1”, and 2018 is now The shooting year “r” is indicated by “2” because it is two years before the year, and since 2017 is three years before this year, the shooting year “r” is indicated by “3”. Since the year is 4 years before this year, the shooting year “r” is indicated as “4”, and since 2015 is 5 years before this year, the shooting year “r” is “5”. I will show in

  That is, the first-day microsatellite image E1r1a for the current year (2020) is the first-day microsatellite image E101a (E1011, E1012...), And for the first day (2019). The microsatellite image E1r1a is shown as the first day microsatellite image E111a (E1111, E1112...), And the first day microsatellite image E1r1a five years ago (2015) is the first day. This is shown as a micro-satellite image E151a (E1511, E1512...) For use.

  Also, the third-day microsatellite image E1r3a for the current year (2020) is shown as the third-day microsatellite image E103a (E1031, E1032...), And the third day one year ago (2019). The first micro-satellite image E1r3a is shown as the first-day micro-satellite image E131a (E1311, E1312,...), And the third-day microsatellite image E1r3a five years ago (2015) is the third day. This is shown in the form of an eye microsatellite image E153a (E1531, E1532,...).

  In FIG. 2A, the first-day microsatellite image E1r1a for this year (2020) shows the first-day microsatellite image E101a (E1011, E1012...), And FIG. The third-day microsatellite image E1r3a of this fiscal year (2020) shows the third-day microsatellite image E103a (E1031, E1032,...).

  3 to 5 show an example of the film unit of the microsatellite image Eirpa.

  The service center 100 is provided with a change detection system 110 (hereinafter referred to as a change detection system 110) using a micro satellite image, which is a computer system.

  As shown in FIG. 1, the change detection system 110 includes a microsatellite image database unit 120, an orthophoto unit 130, a photographing information database 140, an area image superimposing unit 160, and an image position adjusting unit 170. And a microsatellite orthophoto image database unit 150, a map database unit 180, an area image storage memory 190, a stored image display unit 200, a display unit 210, and the like. Each of these may be a server.

  The microsatellite image database unit 120 includes a first day microsatellite database 120a, a third day microsatellite database 120b, and a sixth day microsatellite database 120c. .

  The first-day microsatellite database 120a stores, for example, first-day microsatellite images E1r1a (E101a, E111a,... E151a) from this year (2020) to five years ago (2015). The third-day microsatellite database 120b stores, for example, the third-day microsatellite images E1r3a (E103a, E113a,... E153a) from this year (2020) to five years ago (2015). The 6th day microsatellite database 120c stores, for example, the 6th day microsatellite images E1r6a (E106a, E116a,... E156a) from this year (2020) to 5 years ago (2015). ing.

  As shown in FIG. 6, the microsatellite image Eirpa is associated with satellite image additional information such as the number of microsatellite Ei, shooting date and time, and GPS data.

  The ortho-photographing unit 130 stores each microsatellite image stored in the first-day microsatellite database 120a, the third-day microsatellite database 120b, and the sixth-day microsatellite database 120c. Airpa is read out and converted into an orthophoto image based on the shooting information JAi (camera parameters (shooting angle, angle of view, resolution,...) Of the microsatellite stored in the shooting information database 140. The plane rectangular coordinates corresponding to the latitude and longitude are assigned to the pixels of each image, and the microsatellite image Eirpa made into the orthophoto image is referred to as a microsatellite orthoimage OEirpa.

  As shown in FIG. 7, the above-mentioned shooting information JAi includes the number of the micro satellite Ei, camera parameters EiCp (shooting angle, angle of view, resolution,...), Shooting date, time, and weather for each area. And information such as the sun direction for each area. The weather for each area and the sun direction for each area are input by another computer system or an operator.

  Then, the operator displays each ultra-small satellite orthoimage OEirpa on the screen, and the camera parameters EiCp (shooting angle (up to 45 degrees) and shooting angle (for example, 500 km above the ground and 30 km × 15 km on the ground) of the shooting information database 140. It is preferable to determine the position of the pixel from the current size, resolution, .., CCD size, etc.), current sun position, weather, temperature, date, etc., and adjust each pixel with these colors. .

  After this processing, the orthophoto unit 130 stores the microsatellite orthoimage OEirpa in the microsatellite orthophoto image database unit 150.

  The microsatellite orthophoto image database unit 150 includes a first day microsatellite ortho database 150a, a third day microsatellite ortho database 150b, and a sixth microsatellite ortho database 150c. It is composed of

  That is, the first-day microsatellite ortho database 150a includes the first-day microsatellite orthoimages OE1r1a (OE101a, OE111a,... OE151a,..., This year (2020) to 5 years ago (2015). Is stored in the database 150b for the third-day microsatellite ortho, in the third-day microsatellite orthoimage OE1r3a (OE103a, OE113a, 5th year (2015)) from this year (2020). ··· OE153a ··· is stored, and the sixth-day microsatellite orthoimage OE1r6a (OE106a) from the current fiscal year (2020) to five years ago (2015) is stored in the sixth-day microsatellite orthodatabase 150c. , OE116a,... OE156a.

  The area image superimposing unit 160 inputs a search area Wi (for example, XX city in XX prefecture) and a change detection year range NWi (for example, February 10, 2015 to February 10, 2017 (first day)) by an operator. Let The search area Wi may be center coordinates and a range (four corners).

  Then, the input search area Wi (for example, an area corresponding to XX prefecture XX city XX town) is searched from the map information (with place name and mesh coordinates) of the map database unit 180, and the center of the searched area is determined. All of the microsatellite orthoimages OEirpa including the search area Wi (for example, a maximum of 30 km × 15 km from the center of XX city in XX prefecture) are searched from the database unit 150 for microsatellite orthophoto images. The data is stored in the storage memory 190. At this time, the data for this year is stored in the highest order.

  For example, if the XX city of XX city exists in the film of the second radiographing number “a” of the microsatellite orthoimage OEirpa, the microsatellite orthoimage OEirp2 of the second radiographing number is displayed. Search and memorize all. In this embodiment, the microsatellite orthoimage OEirpa stored in the area image storage memory 190 is referred to as a change detection storage image HEirpa. The first-day change detection accumulated image HE1r1a, the third-day change detection accumulated image HE1r3a, the sixth-day change detection accumulated image HE1r6a.

  That is, in the area image storage memory 190, the first-day change detection storage image HE1012 on February 10, 2020 (first day) is placed at the top, and thereafter the third-day change detection storage image. HE1032, 6th day change detection accumulated image HE1062, ... 1 year ago (2019) 1st day change detection accumulated image HE1112, 3rd day change detection accumulated image HE1132, 6th day Change detection accumulated image HE1162... 3 years ago (2017) first day change detection accumulated image HE1312, 3rd day change detection accumulated image HE1332, 6th day change detected accumulated image HE1362 It will be accumulated in the order of.

  In the present embodiment, a pixel (pixel) of the change detection accumulation image HEirpa in the area image accumulation memory 190 is referred to as a mesh mi.

  The image position adjustment unit 170 causes the display unit 210 to display one of the change detection accumulation images HEirpa (hereinafter referred to as a reference point setting image KEirpa) stored in the area image accumulation memory 190. At this time, the screen is vertically divided into two. The lower part is a reference point setting image display area Lb of the reference point setting image KEirpa, and the upper part is called a change detection image area La described later. Then, the operator sets at least three reference points Pi in the reference point setting image KEirpa with a cursor or the like.

  In the present embodiment, it is assumed that the first day change detection accumulated image HE1012 on February 10 of this year (2020) is displayed as the reference point setting image KEirpa.

  When the resolution is at least about 6 m, the reference points Pi are input with an interval of at least about three times. The reference point Pi is preferably a tree, a rock, a mountain peak, a center of a building, a corner of a building, or the like.

  Then, mesh coordinates (x, y) of three reference points Pi in the reference point setting image KEirpa (first-day change detection accumulation image HE1012) are obtained, and these mesh coordinates (x, y) are obtained as area images. It is defined as a change detection accumulated image HEirpa (HE1012 to HE1362) in the accumulation memory 190.

  Then, in each change detection accumulated image HEirpa (HE1012 to HE1362), each of the three reference points Pi is aligned.

  That is, even if the flight route and attitude of the microsatellite Ei slightly change, the change detection accumulated images HEirpa (HE1012 to HE1362) can be matched.

  The accumulated image display unit 200 displays a change detection mesh frame HKWi to be superimposed on a change notification image HGi, which will be described later, with the display of the reference point setting image KEirpa (for example, the first day change detection accumulated image HE1012). The large mesh size HWMi is input, and the change detection mesh frame HKWi of the mesh size HMWi is displayed in the change detection image area La on the screen.

  That is, the change detection mesh frame HKWi is displayed in a different area from the reference point setting image KEirpa (for example, the first day change detection accumulation image HE1012).

  The horizontal width and vertical width of the change detection mesh frame HKWi are preferably set to a size that matches the reference point setting image KEirpa (for example, the first day change detection accumulation image HE1012).

  The mesh size HMWi is input at 3 times the resolution (6 m) or more. In the present embodiment, 300 m × 300 m is taken as an example. A mesh having a mesh size HMWi is referred to as a large mesh HMi. In the present embodiment, a pixel in the large mesh HMi is referred to as a small mesh hmi (6 m × 6 m). The small mesh hmi and the large mesh HMi may be transparent.

  On the other hand, the pixel mesh in the reference point setting image KEirpa is referred to as a reference point setting image mesh Kmi (6 m × 6 m).

  Then, the accumulated image display unit 200 allocates all the change detection accumulated images HEirpa (HE1012 to HE1362) stored in the area image accumulation memory 190, and the first small mesh for each large mesh HMi (300 m × 300 m). In order from hmi (6 m × 6 m), the color values Ii of the mesh mi in all the change detection accumulated images HEirpa (HE1012 to HE1362) corresponding to the small mesh hmi (6 m × 6 m) are read, and these color values Ii The composite color value Ii ′ is displayed on the small mesh hmi (6 m × 6 m) of the corresponding large mesh HMi (300 m × 300 m) of the change detection mesh frame HKWi.

  For example, the color value Ii between the meshes mi of the change detection accumulated image HEirpa (HE1012 to HE1362) in the change detection year range NWi from February 10, 2015 (first day) to February 10, 2017 (first day). If one of them is changed compared to the other, the corresponding large mesh HMi (300 m × 300 m) of the change detection mesh frame HKWi is the composite color value Ii ′ It is displayed in a color that combines the color values of. If even one color value does not change, the combined color value is the same color.

  That is, as shown in FIG. 8, the change detection mesh frame HKWi on the reference point setting image KEirpa (change detection image area La) on the screen of the display unit 210 is, for example, February 10, 2015 (1 Day) to an image displaying the composite color value Ii ′ of the mesh mi that has changed or not changed in all the change detection accumulated images HEirpa (HE1012 to HE1362) from February 10, 2017 (first day). It becomes. This is referred to as a change notification image HGi in the present embodiment.

(Detailed explanation)
The change detection system 110 configured as described above will be described in detail below. In this description, the position adjustment is already performed by the image position adjustment unit 170, and the change detection accumulated image HEirpa of the input search area Wi (for example, XX city, XX city, XX prefecture) is displayed in the area by the area image superimposing unit 160. A description will be given assuming that the image is stored in the image storage memory 190. Further, it is assumed that the reference point setting image KEirpa (for example, the first day change detection accumulation image HE1012) is displayed on the screen of the display unit 210.

  FIG. 9 is a flowchart for explaining the change notification image HGi creation processing of the accumulated image display unit 200.

  The accumulated image display unit 200 displays a large mesh size HWMi (300 m × 300 m × 3) of the large mesh HMi of the change detection mesh frame HKWi in accordance with the display of the reference point setting image KEirpa (for example, the first day change detection accumulated image HE1012). 300 m) and a small mesh size hwmi (6 m × 6 m) of the small mesh hmi are input (S1).

  Then, the large mesh size HWMi (300 m × 300 m) and the small mesh size hwmi (6 m × 6 m) are read (S3), and the vertical and horizontal numbers Hmmi of the large mesh HMi are obtained (S5).

  Next, based on the small mesh size hwmi (6 m × 6 m), the vertical and horizontal numbers hmmi of the small mesh hmi in the large mesh HMi are obtained (S7).

  Next, the change detection mesh frame HKWi based on the vertical and horizontal numbers Hmmi of the large mesh HMi is displayed in the change detection image area La on the screen of the display unit 210 as shown in FIG. 8 (S9).

  Next, the small mesh hmi is defined in the large mesh HMi based on the vertical and horizontal numbers hmmi of the small mesh hmi (S11).

  The large mesh HMi and the small mesh hmi described above are preferably displayed transparently.

  FIG. 10 is a flowchart for explaining the color value determination process of the accumulated image display unit 200.

  As shown in FIG. 10, the color value determination process of the accumulated image display unit 200 includes all change detection accumulated images HEirpa stored in the area image accumulating memory 190 with the display of the change detection mesh frame HKWi. (HE1012 to HE1362) is allocated (S21).

  Next, the number of the first large mesh HMi (300 m × 300 m) of the change detection mesh frame HKWi (hereinafter referred to as the large mesh number HBMi) is set to the pointer A (not shown) (S23).

  Next, the small mesh number hBmi of the first small mesh hmi (6 m × 6 m) of the large mesh HMi (300 m × 300 m) is set to the pointer B (not shown) (S25).

  Then, the color value Ii of each mesh mi in all the change detection accumulated images HEirpa (HE1012 to HE1362) corresponding to the large mesh number HBMi and the small mesh number hBmi (6 m × 6 m) is read (S27).

  Then, these color values Ii are synthesized (hereinafter referred to as synthesized color value Ii ′) (S29). Then, the composite color value Ii ′ is set to the small mesh hmi (6 m × 6 m) set to the pointer B in the large mesh HMi (300 m × 300 m) of the large mesh number HBMi set to the pointer A of the change detection mesh frame HKWi. Is displayed on the small mesh hmi (6 m × 6 m) of the small mesh number hBmi (S31).

  Next, it is determined whether there is another small mesh hmi (6 m × 6 m) in the large mesh HMi (300 m × 300 m) of the large mesh number HBMi (S33). If it is determined in step S37 that there is another small mesh hmi (6m × 6m), the next small mesh number hBmi is updated, and the process returns to step S25.

  If it is determined in step S33 that there is no other small mesh hmi (6m × 6m) in the large mesh HMi (300m × 300m) of the large mesh number HBMi, there is another large mesh in the change detection mesh frame HKWi. It is determined whether HMi (300 m × 300 m) exists (S37).

  If it is determined in step S37 that there is another large mesh HMi (300 m × 300 m), it is updated to the large mesh HMi of the next large mesh number HBMi, and the process returns to step 23 (S39).

  That is, as shown in FIG. 11, the change detection mesh frame HKWi on the reference point setting image KEirpa (change detection image area La) on the screen of the display unit 210 is, for example, February 10, 2015 (1 Day) to an image displaying the composite color value Ii ′ of the mesh mi that has changed or has not changed in all the change detection accumulated images HEirpa (HE1012 to HE1362) from February 10, 2017 (first day). (Change notification image HGi).

  The point hatched portion in FIG. 11 indicates that the color changes due to a change in any year, a plurality of years, or all years. In FIG. 11, some of them are shown with a Hi symbol added.

  Further, Hhi in FIG. 11 indicates that only the portion of Hhi has changed in the large mesh HMi, and the other regions have not changed.

  Furthermore, even if HHi has changed in several years or any or all of the meshes, if the number of colors changed in the large mesh HMi is small (for example, 10 or less), the small mesh hmi is small. Is not easily noticed even if it is different from other small meshes hmi. For this reason, when the number is 10 or less in the large mesh HMi, this indicates that the display is hatched.

  The change notification image HGi resulting from the processing of the accumulated image display unit 200 will be described with reference to FIG.

  Fig. 12 (a) shows, for example, a cross-sectional view of the state of rocks on the mountain as of February 10, 2017. FIG. 12 (c) is a plan view on the rock on February 10, 2020. FIG.

  For example, when the state of the rock as of February 10, 2017 is as shown in FIG. 12A (the color value Ii of the rock is “white” and the mountain is “green”), as of February 10, 2020 In this case, when the rock moves for some reason (FIG. 12 (b)), and in the other year, the state shown in FIG. 12 (a) is followed, the accumulated image display unit 200 of the present embodiment Since the super-satellite images Eirpa are superimposed on each other and the combined color value of the color values is displayed, as shown in FIG. For this reason, it turns out that the rock moved easily.

(Other embodiments)
The accumulated image display unit 200 has the processing shown in FIG. As shown in FIG. 13, a color value change mesh number detection unit 201, a large mesh color display method determination unit 202, and a memory 203 are provided.

  In FIG. 13, the area image storage memory 190 includes a first day change detection storage image HE1012 on February 10, 2020 (first day), a third day change detection storage image HE1032, The sixth day change detection accumulation image HE1062 and the first day change detection accumulation image HE1312 three years ago (2017) will be described. Further, a case will be described where the first-day change detection accumulated image HE1312 three years ago (2017) is set as a reference (set by the operator). Furthermore, the case where mesh mi (m10) of mesh number mB10 is designated will be described.

  The color value change mesh number detection unit 201 compares the m10 color value Ii of the reference first-day change detection accumulation image HE1312 with the m10 color value Ii of the change detection accumulation image HEirpa for each fiscal year. If the color values Ii are different, the change mesh number mik is counted by a first counter (not shown).

  The change mesh number mik is output to the large mesh color display method determination unit 202. The number of change meshes mik is appended with the number of the change detection accumulated image HEirpa that has changed, the number of the microsatellite Ei, the shooting date and time, the mesh number (m10), etc. Also referred to as change mesh count information).

  For example, as shown in FIG. 13, the change detection accumulated image HE1312 for the first day three years ago (2017) is used as a reference, the color value of this m10 is green, and February 10, 2020 (one day) The color value of m10 of the first day change detection accumulation image HE1012 is blue, m10 of the third day change detection accumulation image HE1032 is green, and m10 of the sixth day change detection accumulation image HE1062. Is white, the change mesh number mik is counted as “2” and output.

  The large mesh color display method determination unit 202 compares the change mesh number mik from the color value change mesh number detection unit 201 with a first reference number (for example, 10) of the memory 203, and if it is less than or equal to the first reference number, If there is 210, the designated HKWi is hatched as shown in FIG. 11 (HHi). The change mesh number information is hidden in this HHi.

  When the number is equal to or greater than the first reference number, these combined color values Ii ′ are displayed on the HKwi without hatch display.

  Then, when the large mesh is designated by the cursor, the large mesh color display method determination unit 202 specifies the number of the accumulated image HEirpa for change detection of the hidden change mesh number information, the number of the microsatellite Ei, and the shooting date. It has a function to display date and time, mesh number (m10), and the like.

  As a result, the operator displays the change detection accumulated image HEirpa on the screen from the area image accumulating memory 190, which matches the number of the change detection accumulated image HEirpa, the number of the microsatellite Ei, and the shooting date. And other images (Eirpa, OEirpa or HEirpa).

  Furthermore, the color value change mesh number detection unit 201 may display a hatch when the total number of large meshes HMi is equal to or less than the reference number.

  When the large mesh color display method determination unit 202 updates the number of meshes mik, for example, every time the mesh in the range from February 10, 2020 to three years ago (February 10, 2017) is detected. The second reference number (not shown) is counted, and each time the large mesh color display method determination unit 202 searches all the large meshes HMi, this count value is stored in the memory 10. In the following cases (for example, 20), hatch display is performed as described above.

  The large mesh color display method determination unit 202 compares the change mesh number mik from the color value change mesh number detection unit 201 with the reference number (for example, 10) of the memory 203, and if it is less than the reference number, 210 is designated. HKWi is hatched as shown in FIG. 11 (HHi). The change mesh number information is hidden in this HHi. Further, it is assumed that the above-mentioned reference number can be arbitrarily changed.

  In the above-described embodiment, the description has been given as a micro satellite image, but a large, medium satellite image, or a geostationary satellite image may be accumulated and used.

  In the above embodiment, the orthophoto converting unit 130 is provided, but the orthophoto converting unit 130 is not essential.

  Furthermore, the image may be a near-infrared image.

Ei micro satellite Eirpa micro satellite image JAi shooting information JAi
OE1r1a Day 1 ultra-small satellite ortho image OE1r3a Day 3 micro-satellite ortho image OE1r6a Day 6 micro-satellite ortho image HEirpa Change detection accumulation image HE1r1a Day 1 change detection accumulation image HE1r3a 3rd Change detection accumulated image HE1r6a 6th eye change detection accumulated image KEirpa Reference point setting image HEirpa Change detection accumulated image KEirpa Reference point setting image HGWi Change notification image HKWi Change detection mesh frame 10 Base station 100 Service center 110 Change Detection system 120 Microsatellite image database section 120a Day 1 microsatellite database 120b Day 3 microsatellite database 120c Day 6 microsatellite database 130 Orthophoto section,
140 Database for photographing information 150 Database unit for micro satellite orthophoto image 150a Database for micro satellite ortho for day 1 150b Database for micro satellite ortho for day 3 150c Database for micro satellite ortho for 6 eye 160 Area image Overlapping unit 170 Image position adjusting unit 180 Map database unit 190 Area image storage memory 200 Stored image display unit 201 Color value change mesh number detection unit 202 Large mesh color display method determination unit 210 Display unit

Claims (18)

Accumulated aerial moving body acquisition information from the aerial moving body acquired a predetermined number of times within a certain period of time is accumulated for each acquisition time per the certain period, and visually informs where the information has changed A change detection system using aerial moving object acquisition information for displaying an image,
An image database unit in which image information imaged based on the acquired information is classified and stored for each acquisition time per fixed period; and
An image superimposing unit that superimposes the image information of the image database unit in the order of acquisition old or new, and accumulates these in the image storage memory as an accumulation image for change detection (HEirpa);
The change detection accumulated image (HEirpa) in one of the image accumulation memories is displayed on the screen as a reference point setting image (KEirpa), and several reference points are defined in the reference point setting image (KEirpa). An image position adjustment unit for aligning the position of each change detection accumulated image (HAIRpa) in the image accumulation memory based on these reference points;
Furthermore, an accumulated image display unit is provided,
The accumulated image display unit includes:
A change detection mesh frame (HKWi) including a small mesh (hmi) that matches the mesh (mi) of the reference point setting image (KEirpa) in a region different from the reference point setting image (KEirpa) of the screen. Means for matching the vertical and horizontal sizes of the reference point setting image (KEirpa),
Means for sequentially specifying a small mesh (hmi) of the change detection mesh frame (HKWi);
All of the change detection accumulated images (HEirpa) are allocated, and the color value (Ii) of the mesh (mi) corresponding to the designated small mesh (hmi) in these change detection accumulated images (HEirpa) is extracted. Means,
Means for combining the extracted color values (Ii) and displaying the combined color values (Ii ′) on a small mesh (hmi) of the change detection mesh frame (HKWi) of the screen. Change detection system using airborne object acquisition information. The change detection mesh frame (HKWi) is:
The small mesh (hmi) is surrounded by a large mesh (HMi) that is equal to or larger than the mesh (mi) of the reference point setting image (KEirpa),
The accumulated image display unit includes:
Means for designating a change detection accumulated image (HEirpa) as a reference for predicting a change;
Each time a small mesh (hmi) of the change detection mesh frame (HKWi) is designated, a mesh corresponding to the designated small mesh (hmi) in the reference accumulated image for change detection (HEirpa) When the color value (Ii) is different from the color value (Ii) of the mesh (mi) of the mesh (mi) of the other change detection accumulated image (HEirpa) by comparing the color value (Ii) of (mi) Means for counting as the first count value;
Means for identifying and displaying the large mesh (HMi) surrounding the designated small mesh (hmi) only when the first count value is equal to or less than the first reference number set. A change detection system using the airborne object acquisition information according to claim 1. The accumulated image display unit includes:
For each of the designated small meshes (hmi) in all the change detection accumulated images (HEirpa) in the large mesh (HMi), if the first count value is 1 or more, count it, Means for counting as a second count value;
For each large mesh (HMi), only when the second count value in the large mesh (HMi) is equal to or smaller than a second reference number, the large mesh (HMi) surrounding the designated small mesh (hmi) 3. The change detection system using the aerial moving body acquisition information according to claim 2. The change detection accumulated image (HEirpa) is added with acquisition information additional information including the number of the aerial moving object and the acquisition date.
The accumulated image display unit includes:
If the color value (Ii) is different, means for storing the acquired additional information in association with the different small mesh (hmi);
With the designation of the large mesh (HMi) having a mesh size greater than or equal to the mesh (mi) of the reference point setting image (KEirpa), it is associated with the small mesh (hmi) in the large mesh (HMi). The change detection system using the aerial moving body acquisition information according to claim 3, further comprising: means for displaying all the acquired information additional information.   The change detection system using aerial moving object acquisition information according to claim 1, wherein the change detection mesh frame (HKWi) is transparently displayed.     The change detection system using the aerial mobile object acquisition information according to claim 1, wherein the aerial mobile object is an artificial satellite or an aircraft, and the aerial mobile object acquisition information is a satellite image or an aerial photograph image. . Accumulated aerial moving body acquisition information from the aerial moving body acquired a predetermined number of times within a certain period of time is accumulated for each acquisition time per the certain period, and visually informs where the information has changed A change detection method using airborne object acquisition information for displaying an image,
Preparing an image database unit in which image information imaged based on the acquired information is classified and stored for each acquisition time per fixed period;
Computer
An image superimposing step of superimposing the image information in the image database unit in the order of acquisition old or new, and accumulating these in the image storage memory as an accumulation image for change detection (HEirpa);
The change detection accumulated image (HEirpa) in one of the image accumulation memories is displayed on the screen as a reference point setting image (KEirpa), and several reference points are defined in the reference point setting image (KEirpa). An image position adjusting step for aligning the position of each change detection accumulated image (HEirpa) in the image accumulation memory based on these reference points;
In addition, a stored image display step is prepared,
The accumulated image display step includes:
A change detection mesh frame (HKWi) including a small mesh (hmi9) that matches the mesh (mi) of the reference point setting image (KEirpa) in a region different from the reference point setting image (KEirpa) on the screen. Displaying the reference point setting image (KEirpa) so as to match the vertical and horizontal sizes;
Sequentially specifying the small meshes (hmi) of the change detection mesh frame (HKWi);
All of the change detection accumulated images (HEirpa) are allocated, and the color value (Ii) of the mesh (mi) corresponding to the designated small mesh (hmi) in these change detection accumulated images (HEirpa) is extracted. Steps,
Combining the extracted color values (Ii) and displaying the combined color values (Ii ′) on a small mesh (hmi) of the change detection mesh frame (HKWi) of the screen. A change detection method using airborne object acquisition information. The change detection mesh frame (HKWi) is:
The small mesh (hmi) is surrounded by a large mesh (HMi) that is equal to or larger than the mesh (mi) of the reference point setting image (KEirpa),
The accumulated image display step includes:
Designating a change detection accumulated image (HAIRpa) as a reference for predicting a change;
Each time a small mesh (hmi) of the change detection mesh frame (HKWi) is designated, a mesh corresponding to the designated small mesh (hmi) in the reference accumulated image for change detection (HEirpa) If the color value (Ii) is different from the color value (Ii) of the mesh (mi) of the mesh (mi) of the other change detection accumulated image (HEirpa) by comparing the color value (Ii) of (mi) Counting as a count value of 1;
And only when the first count value is equal to or less than the set first reference number, the step of identifying and displaying the large mesh (HMi) surrounding the designated small mesh (hmi) is performed. The change detection method using the aerial moving body acquisition information according to claim 7. The accumulated image display step includes:
For each of the designated small meshes (hmi) in all the change detection accumulated images (HEirpa) in the large mesh (HMi), if the first count value is 1 or more, count it, Counting as a second count value;
For each large mesh (HMi), only when the second count value in the large mesh (HMi) is equal to or smaller than a second reference number, the large mesh (HMi) surrounding the designated small mesh (hmi) The change detection method using the aerial moving body acquisition information according to claim 8, wherein: The change detection accumulated image (HEirpa) is added with acquisition information additional information including the number of the aerial moving object and the acquisition date.
The accumulated image display step includes:
If the color value (Ii) is different, storing the acquired information additional information in association with the different small mesh (hmi);
With the designation of the large mesh (HMi) having a mesh size greater than or equal to the mesh (mi) of the reference point setting image (KEirpa), it is associated with the small mesh (hmi) in the large mesh (HMi). The change detection method using the aerial moving body acquisition information according to claim 9, further comprising: displaying all the acquired information additional information.   The change detection method using the aerial moving body acquisition information according to claim 7, wherein the change detection mesh frame (HKWi) is transparently displayed.   The change detection method using the aerial mobile object acquisition information according to claim 7, wherein the aerial mobile object is an artificial satellite or an aircraft, and the aerial mobile object acquisition information is a satellite image or an aerial photograph image. . Accumulated aerial moving body acquisition information from the aerial moving body acquired a predetermined number of times within a certain period of time is accumulated for each acquisition time per the certain period, and visually informs where the information has changed A change detection program using airborne object acquisition information for displaying an image,
Using an image database unit in which image information imaged based on the acquisition information is classified and stored for each acquisition time per fixed period,
Computer
Image superimposing means for superimposing the image information of the image database unit in the order of acquisition old or new, and accumulating them in an image accumulating memory as a change detection accumulating image (HEirpa);
The change detection accumulated image (HEirpa) in one of the image accumulation memories is displayed on the screen as a reference point setting image (KEirpa), and several reference points are defined in the reference point setting image (KEirpa). Image position adjusting means for aligning the position of each change detection accumulated image (HEirpa) of the image accumulation memory based on these reference points;
further,
A change detection mesh frame (HKWi) including a small mesh (hmi) that matches the mesh (mi) of the reference point setting image (KEirpa) in a region different from the reference point setting image (KEirpa) of the screen. Means for displaying the image in accordance with the vertical and horizontal sizes of the reference point setting image (KEirpa),
Means for sequentially specifying small meshes (hmi) of the change detection mesh frame (HKWi);
All of the change detection accumulated images (HEirpa) are allocated, and the color value (Ii) of the mesh (mi) corresponding to the designated small mesh (hmi) in these change detection accumulated images (HEirpa) is extracted. means,
A function for combining the extracted color values (Ii) and displaying the combined color values (Ii ′) on a small mesh (hmi) of the change detection mesh frame (HKWi) of the screen is executed. A change detection program using airborne object acquisition information. The change detection mesh frame (HKWi) is:
The small mesh (hmi) is surrounded by a large mesh (HMi) that is equal to or larger than the mesh (mi) of the reference point setting image (KEirpa),
Further, the computer
Means for designating a change detection accumulated image (HEirpa) as a reference for predicting a change;
Each time a small mesh (hmi) of the change detection mesh frame (HKWi) is designated, a mesh corresponding to the designated small mesh (hmi) in the reference accumulated image for change detection (HEirpa) When the color value (Ii) is different from the color value (Ii) of the mesh (mi) of the mesh (mi) of the other change detection accumulated image (HEirpa) by comparing the color value (Ii) of (mi) Means for counting as the first count value;
Only when the first count value is equal to or less than the set first reference number, the function as means for identifying and displaying the large mesh (HMi) surrounding the designated small mesh (hmi) is executed. A change detection program using the aerial moving body acquisition information according to claim 13. further,
For each of the designated small meshes (hmi) in all the change detection accumulated images (HEirpa) in the large mesh (HMi), if the first count value is 1 or more, count it, Means for counting as a second count value;
For each large mesh (HMi), only when the second count value in the large mesh (HMi) is equal to or smaller than a second reference number, the large mesh (HMi) surrounding the designated small mesh (hmi) The change detection program using the aerial moving body acquisition information according to claim 14 for executing a function as a means for identifying and displaying (). The change detection accumulated image (HEirpa) is added with acquisition information additional information including the number of the aerial moving object and the acquisition date.
Further, the computer
If the color value (Ii) is different, means for storing the acquired information additional information in association with the different small mesh (hmi);
With the designation of the large mesh (HMi) having a mesh size greater than or equal to the mesh (mi) of the reference point setting image (KEirpa), it is associated with the small mesh (hmi) in the large mesh (HMi). The change detection program using the aerial moving body acquisition information according to claim 13 for executing a function as means for displaying all the acquired information additional information. The computer,
The change detection program using the aerial moving body acquisition information according to claim 13, wherein the change detection mesh frame (HKWi) executes a function as means for transparent display.   The change detection program using the aerial mobile object acquisition information according to claim 13, wherein the aerial mobile object is an artificial satellite or an aircraft, and the aerial mobile object acquisition information is a satellite image or an aerial photograph image. .