KR101578819B1 - Auto edit method for secure storage on aerial image - Google Patents

Auto edit method for secure storage on aerial image Download PDF

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Publication number
KR101578819B1
KR101578819B1 KR1020150106049A KR20150106049A KR101578819B1 KR 101578819 B1 KR101578819 B1 KR 101578819B1 KR 1020150106049 A KR1020150106049 A KR 1020150106049A KR 20150106049 A KR20150106049 A KR 20150106049A KR 101578819 B1 KR101578819 B1 KR 101578819B1
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South Korea
Prior art keywords
image
template
area
restoration
color
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KR1020150106049A
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Korean (ko)
Inventor
김봉길
남양윤
임형택
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(주)동광지엔티
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/60—Editing figures and text; Combining figures or text
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing

Abstract

The present invention relates to a security area automated editing method in an aerial image based on a geographic information system that precisely corrects a section and a surrounding section forcedly edited from an aerial image to a security area, Outputting an aerial image image output by the output module (11); A security area checking step of the coordinate processing module 13 linking the image coordinates of the aerial image to the numerical coordinates included in the image and checking numerical coordinates of the security area range output to the aerial image; The color analysis module 14 checks the color of the surrounding area within the specified interval along the boundary of the security area and verifies the area where the color of the area is continuously output when the section of the different color is checked, Determining a restoration object (40) when the width is greater than or equal to the specified width, and ignoring it if the width is less than the specified width; A restoration range checking step of checking the image coordinates and the numerical coordinates continuously output from the color analysis module 14 with the color of the restoration object 40 in the aerial image; The restoration target search module 15 searches the numerical coordinate DB 15 'to check the position coordinates CP to be linked with the numerical coordinates, confirms the range of the image of the restoration object 40 in the aerial image, A restoration object determining step of setting a position coordinate (CP) position of the restoration subject (40) in the aerial image; The restoration object search module 15 searches the contour line within the aerial image range in the terrain relief DB 15 "for storing contour line information, connects the disconnected contour lines in the secure area by a virtual contour line VI, The restoration module 19 composes a replica image 40 'that is symmetrical with the image of the restoration object 40 based on the position coordinates CP displayed in the aerial image, but the replica image 40' (X-x ') passing through the position coordinate (CP) and a cross-sectional image of the end (y-c) through the position coordinate (CP) dimensional image consisting of a cross-sectional image of the replica image 40 'and a plane image enclosed by the virtual contour line VI and the transverse (x-x') axis to generate the corrected image 60, A template search module 16 for performing a color analysis A template searching step of searching template image data for the corresponding color information in the template DB 15 according to the color information of the surrounding area analyzed by the module 14, A template editing step of confirming a boundary line of the security area by checking image coordinates and adjusting a template image of the template image data according to the security area and the surrounding area environment; And a template replacing step of inserting the template into the template.

Description

TECHNICAL FIELD [0001] The present invention relates to an automatic editing method of a security area in an aerial image based on a geographic information system,

The present invention relates to a security area automatic editing method in an aerial image based on a geographic information system that precisely corrects a section and a surrounding section compulsively edited from an aerial image to a security area.

One of the tasks that must be preceded for digital map production is to collect aerial photographic images or satellite imagery ('aerial image'). However, the aerial image collected in this way may include a security area to be treated as confidential. That is, during the aerial photographing, a military facility such as a military unit or a security facility such as a blue house and various government agencies may be included in the aerial image.

Currently, in order to secure the security area, the Korean government receives the original image of the aerial image from the NIS and pre-inspects the corresponding aerial image, and when the security area is photographed in the aerial image, The editing work is carried out. Of course, in other countries, the aeronautical image is pre-screened by the same or similar process at the agency.

The entire image of the aerial image is output unnaturally, as shown in FIG. 1 (the image showing the censored aerial image), since the aerial image that has been inspected has been removed. Accordingly, the replacement image is inserted so that the removed security zone matches the surrounding area.

In the conventional editing method, an aerial image image file is output to a two-dimensional computer graphics program or the like, and a video image of another region or an image of mountains, forests, and the like is manually inserted into the security area. Here, the two-dimensional computer graphics program is a program designed to perform image synthesis, color decomposition, and color picture drawing for an image file, and is an image editing program such as 'Potoshop' developed by Adobe Systems, Can be illustrated.

However, in the conventional editing method, the two-dimensional computer graphic program is executed to output the corresponding aerial image, the operator must directly confirm and determine the surrounding area of the security area to select another similar image, I had to cut and insert it into the security area one by one. As a result, the conventional editing method for the security area of the aerial image is time consuming and costly, and since the results are different according to the operator, it is difficult to guarantee the consistency of the work. There was a limit to maintaining the best.

In order to solve this problem, "Editing system and editing method for security area in air / satellite image (Registration No. 10-1102415;

However, since the prior art is merely a synthesis of the cut-out area in the aerial image image to the surrounding background, if there is a terrestrial structure or terrain that can be opened in the cut-off area, the terrestrial structure or terrain is edited in the same manner as the surrounding background There was a problem that it was deleted from aerial image.

Prior Art Document 1. Patent Registration No. 10-1102415 (Announcement of Jan. 15, 2012)

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above problems, and it is an object of the present invention to provide an automatic editing method of a security area in an aerial image based on a geographic information system including a ground structure or a terrain, To provide a solution to the problem.

According to an aspect of the present invention,

An aerial image image output step in which the output module (11) outputs an aerial image image in which the security area is deleted;

A security area checking step of the coordinate processing module 13 linking the image coordinates of the aerial image to the numerical coordinates included in the image and checking numerical coordinates of the security area range output to the aerial image;

The color analysis module 14 checks the color of the surrounding area within the specified interval along the boundary of the security area and verifies the area where the color of the area is continuously output when the section of the different color is checked, Determining a restoration object (40) when the width is greater than or equal to the specified width, and ignoring it if the width is less than the specified width;

A restoration range checking step of checking the image coordinates and the numerical coordinates continuously output from the color analysis module 14 with the color of the restoration object 40 in the aerial image;

The restoration target search module 15 searches the numerical coordinate DB 15 'to check the position coordinates CP to be linked with the numerical coordinates, confirms the range of the image of the restoration object 40 in the aerial image, A restoration object determining step of setting a position coordinate (CP) position of the restoration subject (40) in the aerial image;

The restoration object search module 15 searches the contour line within the aerial image range in the terrain relief DB 15 "for storing contour line information, connects the disconnected contour lines in the secure area by a virtual contour line VI, A topographical relief step;

The restoration module 19 synthesizes the replica image 40 'symmetrical with the restoration object image 40 based on the position coordinates CP displayed in the aerial image, but the replica image 40' (X-x ') via the position coordinate (CP) and a cross-sectional image of the end (y-y') via the position coordinate (CP) And a plane image surrounded by the virtual contour line VI and the transverse axis x-x 'to generate a corrected image 60 and compositing the designated image at the designated position of the duplicated image 40' Restoration step;
A template search step of the template search module 16 searching template image data for the corresponding color information in the template DB 15 according to the color information of the surrounding area analyzed by the color analysis module 14;

The editing module 17 confirms the boundary line of the security area by confirming the image coordinates set by the coordinate processing module 13 and adjusts the template image of the template image data according to the security area and the surrounding area environment A template editing step;

delete

A template replacing step of inserting the template image into the security area by the editing module 17;

And a security area automatic editing method in an aerial image image.

The present invention has the advantage of completing a reliable aerial image image in the vicinity of the security area because the ground structure or the terrain is allowed to be displayed in an arbitrary area deleted in the inspection process.

1 is an image showing an aerial image image censored according to the prior art,
FIG. 2 is a block diagram showing the configuration of an editing apparatus for performing an automatic editing method according to the present invention,
3 is a flowchart sequentially showing an automatic editing method according to the present invention,
FIG. 4 is an image showing a state in which the editing device according to the present invention confirms the peripheral area of the security area,
Fig. 5 is an image showing the display point of Fig. 4,
6 is a view showing a state where the editing apparatus according to the present invention confirms a position in accordance with numerical coordinates of a restoration object in order to search for a restoration object,
FIG. 7 is a view showing a state in which an automatic editing method according to the present invention confirms a terrain through undulations of a restoration target area,
FIG. 8 is an image showing a restoration target restored by the automatic editing method according to the present invention,
FIG. 9 is an aerial image image in which an automatic editing method according to an embodiment of the present invention is shown for editing a security area,
Fig. 10 is a view schematically showing the end and transverse topography of a portion surrounded by virtual contour lines,
11 is an image showing a security area edited through the automated editing method according to the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other features and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings, It will be possible. The present invention is capable of various modifications and various forms, and specific embodiments are illustrated in the drawings and described in detail in the text. It should be understood, however, that the invention is not intended to be limited to the particular forms disclosed, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

FIG. 2 is a block diagram illustrating a configuration of an editing apparatus for performing an automatic editing method according to the present invention. Referring to FIG.

The editing device for performing the automatic editing method according to the present invention is capable of quickly and effectively editing and processing the security area portion in the pre-inspected aerial image, and is provided with an input module An output module 12 for outputting an aerial image, a coordinate processing module 13 for confirming the numerical coordinates and the image coordinates of the aerial image produced on the basis of the geographic information, A template DB 16 'for storing template image data, a template search module 16 for searching the template DB 15, and a template image search module 16 for searching for a template image of the searched template image data, An editing module 17 for inserting the edited aerial image data into the security area of the aerial image, an image DB 18 for storing the edited aerial image data, A restoration target search module 15 for searching the numerical coordinate DB 15 'for numerical coordinates of a ground structure or a specific area to be restored and applying the numerical coordinates to the aerial image DB 15' And a restoration module 19 for restoring the ground structure or the specific area.

The input module 11 is a conventional input device for receiving a file format aerial image and may be a conventional device capable of reading and inputting a storage medium such as a compact disc (CD) or a universal serial bus (USB) memory . In addition, it may be a conventional device having a general wired and wireless Internet communication function and capable of receiving an aerial image through the communication means. In addition, it may be a conventional device capable of receiving an aerial image through a communication means having a local wireless communication function such as Bluetooth or ZigBee. In addition, the input module 11 can be variously modified without departing from the scope of the following claims if it is an apparatus capable of inputting an aerial image of a file format.

The output module 12 is a conventional display for outputting an aerial image, and can be variously applied to display systems such as a CRT, an LCD, a PDP, and an OLED. Accordingly, various modifications may be made without departing from the scope of the present invention as long as the apparatus can process an aviation image of a file format and output it as an image. For reference, the output module 12 may be combined with the input module 11 to apply a touch screen method. That is, the operator may directly touch the screen while watching the aerial image image output to the output module 12, so that the signal input for controlling the editing system is processed.

The coordinate processing module 13 confirms the numerical coordinates included in the aerial image data, sets the image coordinates for the corresponding numerical coordinates, and particularly sets (converts) the numerical coordinates for the security area to the image coordinates, 17 and the restoration module 19 can perform image editing based on the aerial image. Generally, the aerial image data created for the digital map production may include numerical coordinates such as GPS coordinates. The coordinate processing module 13 compares the corresponding numerical coordinates of the deleted area in the aerial image with the actual coordinates of the security area And the numerical coordinate is set as the image coordinate, and it is used for checking the security area position in the aerial image, checking the restoration target position, and checking the insertion position of the template image. The description will be made in detail while explaining the automated editing method according to the present invention.

The color analysis module 14 checks the surrounding color of the security area of the aerial image and confirms the characteristics of the area. In the present embodiment, if the surrounding color of the security area is identified as a pale green color system, the corresponding area is estimated as paddy. If the green distribution is large, the area is estimated as a forest area. And if it is confirmed as a yellow line, the area is estimated as general land. In addition, the color analysis module 14 can confirm the range of the security area by checking the setting color of the security area. More specifically, when the operator selects the security area, the operator sets the security area as a portion in which the same color as the set color of the selected point is successively set. A specific example of the color confirmation of the surrounding area will be described in detail in the description of the editing method.

The template DB 15 stores template image data, which is a sample image to be inserted into the security area of the aerial image, and may be a variety of fields such as rice field, field, forest, sea, road and river. In general, since an aerial image is to be used as a part of a digital map, it is not desirable to apply a ground structure that does not actually exist as a template image replacing the security area. Therefore, the template images are generally natural or artificial, but they are intended for artificial natural objects such as rice fields and fields.

The template search module 16 searches the template DB 15 for a template image to be inserted into the security area according to the result of the analysis performed by the color analysis module 14, The quality of the image will improve. A detailed description of conditions for the template search module 16 to search the template DB 15 will be described in detail while explaining the editing method.

The editing module 17 determines the range and shape of the security area by checking the image coordinates and cuts the template image retrieved by the template search module 16 in the corresponding section in the restored aerial image, The cut template image is inserted into the secure area, and the boundary between the existing aerial image and the template image is interpolated. In addition, the color density and brightness of the template image and the surrounding area are finally matched so that the final edited aerial image corresponds to the original image.

The image DB 18 stores aerial image data edited by the editing module 17.

The numerical coordinate DB 15 'stores and manages numerical coordinates of a ground structure or a specific area. Since the numerical coordinate DB 15 'can be restored more precisely as the number of numerical coordinates for a ground structure or a specific region is larger, it is desirable to have various information as much as possible.

The restoration object retrieval module 15 detects whether the ground structure or the specific area is estimated as a result of the color analysis of the color analysis module 14 or a ground structure forcedly edited in the security area range in the numerical coordinate DB 15 ' The existence of the zone is confirmed, and the coordinate point of the restoration target of the ground structure or the specific zone finally confirmed is displayed in the security area.

The restoration module (19) restores the entire restoration object based on the restoration object coordinate point and the restoration subject exposure section. The specific implementation technique of the restoration module 19 will be described in detail while explaining the automated editing method according to the present invention.

FIG. 3 is a flowchart sequentially illustrating an automated editing method according to the present invention. FIG. 4 is an image showing how the editing apparatus according to the present invention confirms the surrounding area of a security area.

S1; Aerial image output step

The output module 12 outputs the aerial image to be edited. As described above, the aviation image data is input to the editing device through the input module 11. The aerial image output through the output module 12 is preferably a color image.

Meanwhile, as shown in FIG. 4, the security area (security area) in the corresponding aerial image is output as a forced deletion in the inspection process.

S2; Security zone verification step

When the boundary of the security area is set in the input module 11 in the aerial image output to the output module 12 and the boundary line is set as the area setting signal, The coordinate processing module 13 confirms the coordinates of the boundary line and extracts a range enclosed by the boundary line (i.e., a boundary) by checking the coordinates of the boundary line (the boundary line) and extracting a continuous polygon corresponding to the same color to confirm the position Set as security zone. Here, the numerical coordinates may be linked for each polygon, and the coordinate processing module 13 converts the coordinates into image coordinates and sets them. Through this, the editing device can recognize the location of the security area in the aerial image. In the present embodiment, the security area is a square-shaped area having a1 to a4 as the points of the respective vertexes, and a range connecting a1 to a4 is calculated as numerical coordinates to confirm the range of the security area.

In addition, a color corresponding to the security area can be checked in the aerial image output through the output module 12, and the range of the area in which the hue is successively output can be set as the security area. To this end, the operator inputs the area setting signal through the input module 11, and the coordinate processing module 13 starts driving for setting the security area according to the area setting signal. In the present embodiment, the setting color corresponding to the security area is white.

S3; Peripheral Zone Identification Phase

The color analysis module 14 checks the color of the surrounding area of the security area and prepares a template image search to be inserted into the security area. The color analysis module 14 checks the set color of the polygon outside the security area along the border of the security area and sequentially widens the color checking range around the security area if necessary. The colors set in the polygon of the aerial image may be different in brightness or density even if they are the same color. Therefore, the color analysis module 14 prepares various reference colors in consideration of this, compares the reference color with the set color of the polygon, and accurately confirms the set color type of the polygon.

The range of the surrounding area identified by the color analysis module 14 may be variously determined according to the size of the security area or the characteristics of the surrounding area. In the exemplary embodiment of the present invention, If the polygon of the new color is confirmed while confirming the color sequentially, it stops checking the color of the surrounding area. For example, as shown in FIG. 4, the color analysis module 14 gradually expands the range of the surrounding area while checking the dark green color along the boundary of the security area, and first checks the light green color Stop checking the surrounding area.

On the other hand, the set color of the polygon corresponding to the peripheral area can not be all the same color in reality. Accordingly, the color analysis module 14 confirms the set color of the peripheral region by confirming the distribution rate and the frequency of the confirmed color.

Fig. 5 is an image showing the display point of Fig. 4, and will be described with reference thereto.

S3 '; Color Sequence Change Identification Step

When the color analysis module 14 confirms the color of the surrounding area of the security area and identifies the color outside the designated similar range, the changed color area is continuously tracked and the range is confirmed. One example will be described in more detail.

First, check the polygon setting color within the specified range along the boundary of the security area. At this time, it was confirmed that the area A within the range of a1 to a2 does not change to the green color of the area 31. By the way, the color of the yellow series was confirmed in the 32 zone and the 32 'zone in the B region located within the range of a2 to a3. Since the color analysis module 14 has confirmed the color of the yellow series that is out of the green range, the yellow range of the 32 zone and the 32 'zone is tracked to identify the zone. The color analysis module 14 determines the areas 32 and 32 'as the restoration target areas if the width of the area is larger than the designated width, and ignores the areas 32 and 32' if the width is less than the designated width. In this embodiment, the color analysis module 14 determines that the area of the 32nd area and the 32'th area is less than the designated area and ignores the area. For reference, the designated width, which is a determination criterion for the restoration target area, can be variously set in the editing apparatus according to the color, the area, and the like of the aerial image. Subsequently, the color of the yellowish color was confirmed in area 33 in the area C within the range of a3 to a4. The color analysis module 14 confirms that the width of the area 33 is less than the specified width and ignores it. Subsequently, the color of the D region located within the range of a4 to a1 was changed from the green region 31 to the yellow region 41, and again from the yellow region 41 to the dark region 42 region. In addition, the color of the E region was changed from the 42nd area of the navy color system to the 43th area of the black color system, and again the 43th area of the black color system was changed to the 31st green color system. However, the color analysis module 14 has been restored to the 41st, 42th and 43th zones as the 41th zone of the yellow system, the 42th zone of the indigo system, and the 43th zone of the black system, which are changed in the green system, It is determined as a target.

If there is no change in the color series, the color analysis module 14 proceeds to a template search step (S5) for editing the security area. If a color of the color series changes, And the confirmation step S41 is continued.

FIG. 6 is a view showing a state in which the editing apparatus according to the present invention confirms a position in accordance with a numerical coordinate of a restoration object in order to search for a restoration object.

S41; Steps to check restore scope

The color analysis module 14 tracks the colors of the 41 zones of the yellow system, the 42 zones of the indigo system and the 43 zones of the black system identified as the restoration target zone, And the 42nd and 43rd areas. First, if the entire range of the 41st and 42nd and 43th regions is checked based on the image coordinates, the numerical coordinates linked to the image coordinates are confirmed. Accordingly, the color analysis module 14 confirms the range (image coordinates) and the actual range (numerical coordinates) in the aerial image of the 41st, 42nd, and 43th regions. For reference, the editing apparatus according to the present invention applies a technique of synthesizing numerical coordinate axes to aerial image images and checking numerical coordinates based on image coordinates.

S42; Steps to determine restore target

The restoration target search module 15 confirms whether there is a ground structure or a specific terrain corresponding to a numerical coordinate range of the 41st zone, the 42nd zone and the 43th zone confirmed by the color analysis module 14 by searching the numerical coordinate DB 15 ' do. As described above, the numerical coordinate DB 15 'stores numerical coordinates of the location of the ground structure or the specific terrain. When the restoration target retrieval module 15 inputs the numerical coordinates of the 41st zone, the 42st zone and the 43st zone And outputs the information of the ground structure or the specific terrain linked with the numerical coordinates.

In this embodiment, the restoration object search module 15 confirms the numerical coordinates linked with the 41st zone, the 42st zone and the 43st zone to the position of the reservoir, and the position coordinates (CP), which is the numerical coordinate of the reservoir, Confirmed.

FIG. 7 is a view showing a state in which the automatic editing method according to the present invention confirms the topography through undulation of the restoration target area, and will be described with reference to the same.

S43; Topographic Undulation Check Step

The restoration object search module 15 searches the topographical relief database 15 "for the topographic relief around the specific terrain corresponding to the restoration object 40. The terrain relief DB 15" And stores the contour information. The terrain undulation is for estimating and processing the restoration form when the restoration subject 40 is a specific terrain, and estimates the reservoir form when the restoration subject 40 is a reservoir as in the present embodiment.

In the present embodiment, one 20m contour line located on the left side of the security area is one, and two 20m contour lines on the right side are two. Therefore, the left 20m contour line and the right 20m contour line are connected to each other. The restoration target search module 15 estimates the topographical undulations in the security area by connecting the other contour lines located within the security area including the 20m contour line to the virtual contour line VI.

FIG. 8 is an image showing how an automation editing method according to the present invention restores a restoration target, FIG. 9 is an aerial image image showing an editing of a security area according to the present invention, FIG. The outline and the transverse topography of the portion surrounded by the contour line.

S44; Restore phase

When the restoration target search module 15 confirms the restoration object 40, the position coordinates CP and the topology undulation, the restoration module 19 restores the restoration object 40 based on the restoration object 40, the position coordinates CP and the topology undulation. The process of restoring the restoration object 40 of the restoration module 19 will be described in more detail.

As shown in FIG. 8, the restoration module 19 restores the image of the restoration object 40 on the basis of the position coordinates (CP) of the restoration target reservoir so that the image of the restoration object 40 occupies the maximum width within the range of the 20 m contour line in the security area So that the duplicate image 40 'of the restoration object 40 image is synthesized in the security area. For reference, the replica image 40 'to be symmetrically edited is the range of the virtual contour line VI to be displayed in the security area.

When the synthesis of the replica image 40 'is completed, the blank space between the replica image 40 and the replica image 40' is reinforced with the reinforcing image 50, as shown in FIG. 9 (a). Here, the reinforced image 50 is formed so that the 41st, 42th, and 43th regions of the image of the restoration object 40 and the duplicate image 40 'are connected to the color of the corresponding region.

When the combination of the copy target image 40 and the replica image 40 'and the enhancement image 50 is completed, the restoration module 19 deletes the virtual contour VI in the security area as shown in FIG. 9 (a) ). Sectional image of the crossing (x-x ') on the basis of the position coordinate (CP) in the section surrounded by the virtual contour line (VI) as shown in FIG. 10 (a) The cross-sectional image of the end point (y-y ') based on the position coordinate (CP) has a slope of the left side as shown in FIG. 10 (b) It accomplishes. The restoration module 19 includes a planar image enclosed by the virtual contour line VI and the transverse axis x-x 'shown in FIG. 10 (c) Dimensional image, and the triangle-shaped corrected image 60 shown in FIG. 9B is completed for the correction of the duplicated image 40 ', and is synthetically reinforced at the corresponding position of the duplicated image 40'.

According to the above-described procedure, the restoration module 19 restores the restoration object 40 in the aerial image.

FIG. 11 is an image showing a security area edited through the automated editing method according to the present invention. Referring to FIG.

S5; Template search step

When restoration of the restoration object 40 is completed, the template search module 16 searches the template DB 15 for the template image data according to the color information analyzed by the color analysis module 14.

Template images can be extracted from existing aerial image images.

The template image data is linked with the color and stored. For example, the green system is linked to the non-template image data, the green system is linked to the forest (template) template image data, and the blue system is linked to the river or sea template image data.

In the embodiment of the present invention, since the color analysis module 14 confirms the surrounding area of the security area in green, the template search module 16 determines the surrounding area as a forest, The template image data relating to the forest is retrieved. For reference, when the aerial photographing is carried out in autumn, the color of red or yellow colored leaves may be photographed in the forest. Therefore, it is needless to say that red or yellow may be linked with the forest template image data and stored.

S6; Edit template step

The editing module 17 confirms the boundary line of the security area by confirming the image coordinates set by the coordinate processing module 13. [

Subsequently, the editing module 17 cuts the template image of the template image data retrieved by the template retrieval module 16 according to the shape of the corresponding security area. At this time, it is natural that the size related values of the two images, such as the resolution of the aerial image and the resolution of the template image, must be matched. In addition, the surrounding area of the aerial image matches the color intensity and / or brightness set in the template image.

S7; Template replacement step

The editing module 17 inserts the cut template image into the security area of the aerial image as shown in FIG. In general, the template image is inserted in a layer format independent of the aerial image and combined into one image through final synthesis. The insertion of the template image will be done according to the image coordinates of the aerial image.

S8; Image interpolation step

The editing module 17 interpolates the boundary between the template image and the surrounding area so that the template image is visually harmonized with the aerial image image background (surrounding area) naturally. Here, interpolation refers to a task of averaging a number of points in order to create a new point. The polygon setting color of the surrounding area of the aerial image and the polygon setting color of the template image are averaged to make the boundary of the template image visually obscure. Interpolation can also be done through image modification, and it is widely used to connect two different images and to smooth their boundaries.

When the interpolation process is completed, the corresponding aerial image image can be stored in the image DB 18 in GeoTIFF format. As a result, if the operator sets the security area of the aerial image using the input module 11, the editing device according to the present invention can identify the security area, confirm the surrounding area, confirm the restoration area, Restoration, template image search, template image editing, template image inserting and interpolation processing are automatically and sequentially processed to quickly and uniformly output optimized aerial image images for the security area.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

11; An input module 12; Output module 13; Coordinate processing module
14; Color analysis module 15; Restoration target search module 15 '; Numerical coordinate DB;
16; A template search module 16 '; Template DB 17; Edit module
18; Image DB 19; Restoration module

Claims (1)

An aerial image image output step in which the output module (11) outputs an aerial image image in which the security area is deleted;
A security area checking step of the coordinate processing module 13 linking the image coordinates of the aerial image to the numerical coordinates included in the image and checking numerical coordinates of the security area range output to the aerial image;
The color analysis module 14 checks the color of the surrounding area within the specified interval along the boundary of the security area and verifies the area where the color of the area is continuously output when the section of the different color is checked, Determining a restoration object (40) when the width is greater than or equal to the specified width, and ignoring it if the width is less than the specified width;
A restoration range checking step of checking the image coordinates and the numerical coordinates continuously output from the color analysis module 14 with the color of the restoration object 40 in the aerial image;
The restoration target search module 15 searches the numerical coordinate DB 15 'to check the position coordinates CP to be linked with the numerical coordinates, confirms the range of the image of the restoration object 40 in the aerial image, A restoration object determining step of setting a position coordinate (CP) position of the restoration subject (40) in the aerial image;
The restoration object search module 15 searches the contour line within the aerial image range in the terrain relief DB 15 "for storing contour line information, connects the disconnected contour lines in the secure area by a virtual contour line VI, A topographical relief step;
The restoration module 19 synthesizes the replica image 40 'symmetrical with the restoration object image 40 based on the position coordinates CP displayed in the aerial image, but the replica image 40' (X-x ') via the position coordinate (CP) and a cross-sectional image of the end (y-y') via the position coordinate (CP) And a plane image surrounded by the virtual contour line VI and the transverse axis x-x 'to generate a corrected image 60 and compositing the designated image at the designated position of the duplicated image 40' Restoration step;
A template search step of the template search module 16 searching template image data for the corresponding color information in the template DB 15 according to the color information of the surrounding area analyzed by the color analysis module 14;
The editing module 17 confirms the boundary line of the security area by confirming the image coordinates set by the coordinate processing module 13 and adjusts the template image of the template image data according to the security area and the surrounding area environment A template editing step;
A template replacing step of inserting the template image into the security area by the editing module 17;
The method of claim 1, further comprising the steps of:
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