High fidelity simulation of synthetic aperture radar
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G01S-013/90
G09B-009/54
G01S-013/00
G09B-009/00
출원번호
US-0713544
(2010-02-26)
등록번호
US-8242948
(2012-08-14)
발명자
/ 주소
Burky, John
Shahan, Sharon
출원인 / 주소
Lockheed Martin Corporation
대리인 / 주소
Withrow & Terranova, PLLC
인용정보
피인용 횟수 :
1인용 특허 :
6
초록▼
Methods and systems for generating a raster file in a raster file format for use in a Digital Radar Landmass Simulator (DRLMS). A file in the raster file format defines synthetic aperture radar (SAR) scenery for use in generating a runtime database. The raster file contains a plurality of texture el
Methods and systems for generating a raster file in a raster file format for use in a Digital Radar Landmass Simulator (DRLMS). A file in the raster file format defines synthetic aperture radar (SAR) scenery for use in generating a runtime database. The raster file contains a plurality of texture elements (texels) that define the SAR scenery. Each texel may have a material identifier, which identifies a material composition of a respective surface region of the SAR scenery; a surface height identifier, which identifies a surface height with respect to a bare earth elevation (BEE) value of the respective surface region; and a BEE identifier, which identifies a BEE of the respective surface region. A method for determining surface height identifiers based on digital surface model (DSM) elevation data is also provided.
대표청구항▼
1. A method for producing a raster-based file defining synthetic aperture radar (SAR) scenery for use in generating a runtime database, comprising: for each of a plurality of texture elements (texels) representing respective surface regions of an elevated feature in the SAR scenery: determining a co
1. A method for producing a raster-based file defining synthetic aperture radar (SAR) scenery for use in generating a runtime database, comprising: for each of a plurality of texture elements (texels) representing respective surface regions of an elevated feature in the SAR scenery: determining a corresponding material identifier, wherein the material identifier identifies a material composition of the respective surface region;determining a corresponding surface height identifier, wherein the surface height identifier identifies a surface height of the respective surface region with respect to a reference point, and wherein the surface height identifier is determined based on a difference between digital surface model (DSM) elevation data corresponding to the respective surface region and a vertical datum reference point corresponding to the respective surface region; andcommunicating the corresponding material identifier and the corresponding surface height identifier for each of the plurality of texels to a destination. 2. The method of claim 1, wherein the reference point for the corresponding surface height identifier for each of the plurality of texels is the vertical datum reference point corresponding to the respective surface region represented by the respective texel. 3. The method of claim 1, further comprising, for the each of the plurality of texels representing respective surface regions of the elevated feature in the SAR scenery: determining a corresponding bare earth elevation (BEE) identifier, wherein the BEE identifier identifies a BEE of the respective surface region; andcommunicating the corresponding BEE identifier for each of the plurality of texels to the destination. 4. The method of claim 3, wherein the reference point for each corresponding channel height identifier comprises the BEE identifier of the corresponding texel. 5. The method of claim 4, wherein the DSM elevation data comprises Light Detection and Ranging (LIDAR) data comprising a plurality of LIDAR points, wherein each of the plurality of LIDAR points has a corresponding LIDAR elevation value, and further comprising modifying the LIDAR elevation values corresponding to the plurality of LIDAR points to convert the LIDAR elevation values from ellipsoid-referenced elevation values to geoid-referenced elevation values. 6. The method of claim 5, wherein modifying the LIDAR elevation values further comprises: identifying a plurality of control point locations in the SAR scenery corresponding to bare earth, and determining a plurality of elevation difference values identifying a difference between LIDAR elevation values corresponding to the plurality of control point locations and BEE elevation values corresponding to the plurality of control point locations;forming a triangulated irregular network (TIN) based on the plurality of elevation difference values;rasterizing the TIN to a desired resolution to form a rasterized elevation difference surface; andfor each of the plurality of LIDAR points, modifying the corresponding LIDAR elevation value based on an elevation value of the rasterized elevation difference surface which corresponds to a location of the LIDAR point. 7. The method of claim 1, further comprising, for each of the plurality of texels representing respective surface regions of the elevated feature in the SAR scenery: determining a corresponding intensity identifier, wherein the intensity identifier identifies a grayscale intensity of the respective surface region;determining a corresponding orientation identifier, wherein the orientation identifier identifies an azimuth of the respective surface region; andcommunicating the corresponding intensity identifier and the corresponding orientation identifier for each of the plurality of texels to the destination. 8. The method of claim 1, wherein communicating the corresponding material identifier and the corresponding surface height identifier for each of the plurality of texels to a destination comprises storing the corresponding material identifier and the corresponding surface height identifier for each of the plurality of texels in a file. 9. The method of claim 8, further comprising: inputting, by a database compiler, the file, and generating, based on the file, the runtime database. 10. The method of claim 1, wherein determining the material identifier further comprises: determining a color composition of the respective surface region, the color composition comprising a red value, a green value, and a blue value;indexing a material composition cube with the red value, the green value, and the blue value, wherein the material composition cube identifies a plurality of different material compositions based on a color composition of the plurality of different materials; andobtaining from the material composition cube the material identifier based on the material composition at the index of the red value, the green value, and the blue value. 11. A computer-readable data structure encoded on a non-transitory computer-readable medium for representing synthetic aperture radar (SAR) scenery for use in generating a runtime database, the computer-readable data structure comprising: for each of a plurality of texture elements (texels) representing respective surface regions of an elevated feature in the SAR scenery: a corresponding material identifier, wherein the material identifier identifies a material composition of the respective surface region; anda corresponding surface height identifier, wherein the surface height identifier identifies a surface height of the respective surface region with respect to a reference point, and wherein the surface height identifier is determined based on a difference between digital surface model (DSM) elevation data corresponding to the respective surface region and a vertical datum reference point corresponding to the respective surface region. 12. The computer-readable data structure of claim 11, wherein the corresponding material identifiers and the corresponding surface height identifiers are readable by a database compiler for generating the runtime database. 13. The computer-readable data structure of claim 11, wherein the computer readable data structure further comprises: for the each of the plurality of texels representing respective surface regions of the elevated feature in the SAR scenery: a corresponding bare earth elevation (BEE) identifier, wherein the BEE identifier identifies a BEE of the respective surface region. 14. The computer-readable data structure of claim 13, wherein the reference point for each corresponding channel height identifier comprises the BEE channel identifier of the corresponding texel. 15. The computer-readable data structure of claim 11, wherein the DSM elevation data comprises Light Detection and Ranging (LIDAR) data comprising a plurality of LIDAR points, wherein each of the LIDAR points has a corresponding LIDAR elevation value, and further comprising modifying the LIDAR elevation values corresponding to the plurality of LIDAR points to convert the LIDAR elevation values from ellipsoid-referenced elevation values to geoid-referenced elevation values. 16. A computing device for producing a raster-based file defining synthetic aperture radar (SAR) scenery for use in generating a runtime database, comprising: a data storage; anda control system coupled to the data storage and adapted to: for each of a plurality of texture elements (texels) representing respective surface regions of an elevated feature in the SAR scenery: determine a corresponding material identifier, wherein the material identifier identifies a material composition of the respective surface region;determine a corresponding surface height identifier, wherein the surface height identifier identifies a surface height of the respective surface region with respect to a reference point, and wherein the surface height identifier is determined based on a difference between digital surface model (DSM) elevation data corresponding to the respective surface region and a vertical datum reference point corresponding to the respective surface region; andstore the corresponding material identifier and the corresponding surface height identifier for each of the plurality of texels in a data structure in the data storage. 17. The computing device of claim 16, wherein the reference point for the corresponding surface height identifier for each of the plurality of texels is the vertical datum reference point corresponding to the respective surface region represented by the respective texel. 18. The computing device of claim 16, wherein the control system is further adapted to, for each of the plurality of texels representing respective surface regions of the elevated feature in the SAR scenery: determine a corresponding bare earth elevation (BEE) identifier, wherein the BEE identifier identifies a BEE of the respective surface region; andstore the corresponding BEE identifier for each of the plurality of texels in the data structure. 19. The computing device of claim 18, wherein the reference point for each corresponding channel height identifier comprises the BEE channel identifier of the corresponding texel. 20. The computing device of claim 19, wherein the DSM elevation data comprises Light Detection and Ranging (LIDAR) data comprising a plurality of LIDAR points, wherein each of the LIDAR points has a corresponding LIDAR elevation value, and wherein the control system is further adapted to modify the LIDAR elevation values corresponding to the plurality of LIDAR points to convert the LIDAR elevation values from ellipsoid-referenced elevation values to geoid-referenced elevation values. 21. The computing device of claim 20, wherein to modify the LIDAR elevation values, the control system is further adapted to: identify a plurality of control point locations in the SAR scenery corresponding to bare earth, and determine a plurality of elevation difference values identifying a difference between LIDAR elevation values corresponding to the plurality of control point locations and BEE elevation values corresponding to the plurality of control point locations;form a triangulated irregular network (TIN) based on the plurality of elevation difference values;rasterize the TIN to a desired resolution to form a rasterized elevation difference surface; andfor each of the plurality of LIDAR points, modify the corresponding LIDAR elevation value based on an elevation value of the rasterized elevation difference surface which corresponds to a location of the LIDAR point.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (6)
Koch Robert D. (Enon OH) Dean Harold W. (Beavercreek OH) Overdorf Roger L. (New Carlisle OH), Method for simulating high resolution synthetic aperture radar imagery from high altitude photographs.
Zebker Howard A. (Palo Alto CA) Held Daniel N. (Altadena CA) Goldstein Richard M. (La Canada CA) Bickler Thomas C. (La Canada CA), Synthetic aperture radar target simulator.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.