A method for quickly restoring three-dimensional battlefield environment based on image base map

Abstract

The present invention discloses a method for rapidly restoring a three-dimensional battlefield environment based on an image base map, and relates to the field of simulated environment technology. The method for rapidly restoring a three-dimensional battlefield environment based on an image base map generates a corresponding low-resolution full map using a full map of plane image data. By analyzing the color and physical features of the full-map image data elements, the image is divided into large-area blocks according to a computer image classification algorithm. Large-category blocks of "military elements" and "non-military elements" are established, and a "large-category element A.SHP" vector data layer based on a GIS system is generated. The method for rapidly restoring a three-dimensional battlefield environment based on an image base map rapidly restores scenes in three dimensions in a combat area of ​​key concern, improves the efficiency and reliability of combat deduction, combat simulation, and combat analysis, and can be repeatedly rehearsed at low cost, ultimately assisting in the formulation of combat plans, reducing casualties of personnel and equipment, and achieving combat victory.

Description

Technical Field

[0001] The present invention relates to the technical field of simulated environment, and in particular to a method for rapidly restoring a three-dimensional battlefield environment based on an image base map. Background Art

[0002] Image data is a collection of data that makes up an image. Military exercises, referred to as military exercises, are drills of combat command and action conducted under the guidance of hypothetical situations. They are comprehensive training similar to actual combat and are implemented by troops after completing theoretical learning and basic training. They are an advanced stage of military training.

[0003] However, at present, when military exercises are conducted in special areas, the quality of military exercises may decline due to insufficient intelligence data or lack of three-dimensional materials. Therefore, there is an urgent need for a method to quickly restore the three-dimensional battlefield environment based on the image base map. By using satellite image data or drone aerial image data, the military or non-military elements, military key points, combat units, and non-combat units in the image can be automatically identified, and the three-dimensional combat simulation scene can be quickly restored. Summary of the invention

[0004] The purpose of the present invention is to provide a method for quickly restoring a three-dimensional battlefield environment based on an image base map, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for quickly restoring a three-dimensional battlefield environment based on an image base map, which includes the following process:

[0006] S1: Generate a corresponding low-resolution full map using the full map of planar image data. By analyzing the color and physical features of the full map image data elements, the image is divided into large blocks according to the computer image classification algorithm. Establish the "military element" and "non-military element" major blocks, and generate the "major element A.SHP" vector data layer based on the GIS system.

[0007] S2: Use the "large category element A.SHP" layer and overlay it with the original resolution image data again, call the existing matching "image database", and call the computer image recognition classification and comparison algorithm again. Perform difference analysis and output, and generate the "large category element B.SHP" layer based on the "large category element A.SHP" layer. This process is mainly used to refine and screen image data: combat units, non-combat unit areas, and suspected command center areas, etc.

[0008] S3: The major module element layer and the image layer are superimposed together, and the proprietary GIS system is called to the symbol library, and finally the hierarchical and accurate "functional area" annotation classification layer (CM.SHP layer) and the accurate "functional unit" annotation point layer (Note: CP.SHP layer) are output; after the above steps, a GIS combat command "vector force distribution" map with rich graphics and texts based on the image base map and detailed functional blocks and annotations can be output.

[0009] S4: The above "combat command map" containing precise annotation layers and annotation points should be manually checked and verified for deviations in corresponding positions and functional points with the image map, and then submitted to the system for confirmation.

[0010] S5: By using the confirmed GIS data layer and combining it with the combat simulation platform: material library, model library, and weapons library, matching "functional areas", "functional units", and "functional points", you can automatically generate a modular three-dimensional battlefield environment with real exercise functions.

[0011] Preferably, the GIS combat command "vector force distribution" overall map consists of a first structural layer, a second structural layer and a third structural layer.

[0012] Preferably, the first structural layer includes a non-military element layer and a military element layer.

[0013] Preferably, the second structural layer is a subdivision of the military element layer, including a combat unit layer and a non-combat unit layer.

[0014] Preferably, the third structural layer is a "point + surface type" annotation layer.

[0015] Preferably, the "non-military element" block may include civilian residential areas, shops, blocks, hospitals, school parks, etc.; the "military element" block sub-module includes a "combat function" module area and a "non-combat function" module area.

[0016] Preferably, the combat function module may include a command center, an airport platform, an armed squad, an armored base, an airport, an artillery position, a missile base and a radar base station, etc.

[0017] Preferably, the non-combat function modules may include living areas, supply stations, medical centers, etc.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] (1) This method of rapidly restoring the three-dimensional battlefield environment based on the image base map can solve the problem of special areas where there is insufficient intelligence data or lack of three-dimensional materials. It can quickly restore the scene in three dimensions in the combat area of ​​key concern, thereby improving the efficiency and reliability of combat deduction, combat simulation, and combat analysis. At the same time, it can be repeatedly rehearsed at low cost, ultimately assisting the formulation of combat plans, reducing casualties of personnel and equipment, and achieving combat victory. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention is further described below in conjunction with the accompanying drawings and embodiments:

[0021] Figure 1 The present invention is a flowchart of a method for rapidly restoring a three-dimensional battlefield environment based on an image base map. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 The present invention provides a technical solution: a method for quickly restoring a three-dimensional battlefield environment based on an image base map, which includes the following processes:

[0024] S1: Generate a corresponding low-resolution full map using the full map of planar image data. By analyzing the color and physical features of the full map image data elements, the image is divided into large blocks according to the computer image classification algorithm. Establish the "military element" and "non-military element" major blocks, and generate the "major element A.SHP" vector data layer based on the GIS system.

[0025] S2: Use the "large category element A.SHP" layer and overlay it with the original resolution image data again, call the existing matching "image database", and call the computer image recognition classification and comparison algorithm again. Perform difference analysis and output, and generate the "large category element B.SHP" layer based on the "large category element A.SHP" layer. This process is mainly used to refine and screen image data: combat units, non-combat unit areas, and suspected command center areas, etc.

[0026] S3: The major module element layer and the image layer are superimposed together, and the proprietary GIS system is called to the symbol library, and finally the hierarchical and accurate "functional area" annotation classification layer (CM.SHP layer) and the accurate "functional unit" annotation point layer (Note: CP.SHP layer) are output; after the above steps, a GIS combat command "vector force distribution" map with rich graphics and texts based on the image base map and detailed functional blocks and annotations can be output.

[0027] S4: The above "combat command map" containing precise annotation layers and annotation points should be manually checked and verified for deviations in corresponding positions and functional points with the image map, and then submitted to the system for confirmation.

[0028] S5: By using the confirmed GIS data layer and combining it with the combat simulation platform: material library, model library, and weapons library, matching "functional areas", "functional units", and "functional points", you can automatically generate a modular three-dimensional battlefield environment with real exercise functions.

[0029] The overall map of “vector force distribution” of GIS combat command consists of the first structural layer, the second structural layer and the third structural layer.

[0030] The first structural layer includes the non-military element layer and the military element layer. (Note: The two together constitute the major element A.SHP.)

[0031] The second structural layer is the subdivision of the military element layer, including the combat unit layer and the non-combat unit layer. (That is: the major element B.SHP.)

[0032] The third structural layer is the "point + surface type" annotation layer. (Note: CM.SHP layer + CP.SHP layer together constitute the third structural layer.)

[0033] The "non-military element" block may include civilian residential areas, shops, blocks, hospitals, school parks, etc.; the "military element" block sub-modules include the "combat function" module area and the "non-combat function" module area.

[0034] The combat function modules may include command centers, airport platforms, armed teams, armored bases, airports, artillery positions, missile bases and radar base stations.

[0035] Non-combat function modules may include living areas, supply stations and medical centers.

[0036] Working principle: The present invention can solve the problem of special areas due to insufficient intelligence data or lack of three-dimensional materials. It can quickly restore the scene in three dimensions for the combat areas of key concern, improve the efficiency and reliability of combat deduction, combat simulation, and combat analysis, and can be repeatedly rehearsed at low cost, ultimately assisting the formulation of combat plans, reducing casualties of personnel and equipment, and achieving combat victory.

[0037] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for quickly restoring a three-dimensional battlefield environment based on an image base map. It is characterized by the following steps: S1: Generate a corresponding low-resolution full map using the full map of planar image data. By analyzing the color and physical features of the image data elements in the full map, the image is divided into large blocks according to the computer image classification algorithm, and the "military elements" and "non-military elements" major blocks are established, and the "major element A.SHP" vector data layer based on the GIS system is generated; S2: Use the "major element A.SHP" layer and the original resolution image data to overlay, and call the existing matching "image database", and call the computer image recognition classification and comparison algorithm again to perform difference analysis and output. On the basis of the "major element A.SHP" layer, generate the "major element B.SHP" layer. This step is used to refine and screen image data, including combat units, non-combat unit areas and suspected command center areas; S3: Major module element layer, image layer , superimposed together, and calling its own GIS system to the symbol library, and finally outputting a hierarchical and accurate "functional area" annotation classification layer "CM.SHP layer" and an accurate "functional unit" annotation point layer "CP.SHP layer". After the above steps, the functional blocks based on the image base map and the detailed annotation GIS combat command "vector force distribution" overall map can be output; S4: The "combat command overall map" containing accurate annotation layers and annotation points is finally manually checked and verified with the image map, and the deviations of corresponding positions and functional points are corrected, and then it can be submitted to the system for confirmation; S5: Using the confirmed GIS data layer, combined with the combat simulation and deduction platform: material library, model library, and weapon library, matching "functional area", "functional unit", and "functional point", a modular stereoscopic three-dimensional battlefield environment with real exercise functions can be automatically generated.

2. The method for rapidly restoring a three-dimensional battlefield environment based on an image base map according to claim 1, characterized in that: The GIS combat command "vector force distribution" overall map consists of a first structural layer, a second structural layer and a third structural layer.

3. The method for rapidly restoring a three-dimensional battlefield environment based on an image base map according to claim 2, characterized in that: The first structural layer includes a "non-military element" layer and a "military element" layer.

4. The method for rapidly restoring a three-dimensional battlefield environment based on an image base map according to claim 3, characterized in that: The second structural layer is a subdivision of the "military element" layer, including the "combat unit" layer and the "non-combat unit" layer.

5. The method for rapidly restoring a three-dimensional battlefield environment based on an image base map according to claim 2, characterized in that: The third structural layer is a "point + surface type" annotation layer.

6. The method for rapidly restoring a three-dimensional battlefield environment based on an image base map according to claim 3, characterized in that: The "non-military element" block includes civilian residential areas, shops, blocks, hospitals, schools and parks; the "military element" block sub-modules include the "combat function" module area and the "non-combat function" module area.

7. The method for rapidly restoring a three-dimensional battlefield environment based on an image base map according to claim 6, characterized in that: The "combat function" module includes a command center, an airport platform, an armed squad, an armored base, an airfield, an artillery position, a missile base and a radar base station.

8. The method for rapidly restoring a three-dimensional battlefield environment based on an image base map according to claim 6, characterized in that: The "non-combat function" modules include living areas, supply stations and medical centers.

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