초록 ▼

A method of mapping a target region image to a referenced image includes steps of acquiring the target region image. The method also includes acquiring the referenced image overlapping the target region image. The method further includes determining a number of common subregions in an intersection o

A method of mapping a target region image to a referenced image includes steps of acquiring the target region image. The method also includes acquiring the referenced image overlapping the target region image. The method further includes determining a number of common subregions in an intersection of the referenced image and the target region image, determining offsets between the common subregions, computing a distortion map of the target region image over the intersection, and remapping the target region image to match the reference image. The method can be utilized in a Unmanned Aerial Vehicle (UAV) and the target image can be a SAR image.

대표청구항 ▼

1. A method of mapping a target region image to a reference image, the method comprising the steps: acquiring a target region image;acquiring the reference image overlapping said target region image;determining a number of common subregions in an intersection of the reference image and the target re

1. A method of mapping a target region image to a reference image, the method comprising the steps: acquiring a target region image;acquiring the reference image overlapping said target region image;determining a number of common subregions in an intersection of the reference image and the target region image;determining the offsets between the common subregions;computing a distortion map of the target region image over the intersection; andremapping the target region image to match the reference image and generate a remapped target region image; andtransmitting the remapped target region image to a system configured to at least one of monitor or control movement of an aerial platform using the remapped target region image. 2. The method of claim 1, wherein the target region image is an SAR image and the region target image is optical image, an infrared image, or a millimeter wave image. 3. The method of claim 1, wherein reference image is a SAR image, an optical image, an infrared image, or a millimeter wave image. 4. The method of claim 1, wherein the reference image has a known geolocation accuracy. 5. The method of claim 1, wherein the common subregions are adaptively determined depending on a shape of the intersection. 6. The method of claim 1, wherein the common subregions used in the computation of the distortion map are weighted according to a quality of the offsets. 7. The method of claim 1, wherein the common subregions are adaptively determined dependent on a shape of the intersection and a quality of the determined offsets. 8. The method of claim 1, wherein at least one of a grid or scaling of the target region image is modified before determining the number of subgroups to match the scaling and grid of the reference image. 9. The method of claim 1, wherein transient targets are designated and removed from the target region image before offsets between the common reference subregions are determined. 10. The method of claim 1, wherein image pixel histograms of the target region image, the reference image or both the target region image and reference image are scaled. 11. The method of claim 1, wherein the computations for determining the offsets are carried out using parallel processing. 12. The method of claim 1, wherein where the distortion map is overdetermined and weights the offsets. 13. The method of claim 1, wherein in the remaining step, the transient targets are replaced at newly determined locations. 14. The method of claim 1, wherein an SAR layover error is removed from replaced targets in the remaining step. 15. The method of claim 1, wherein known geometric distortions are removed from the target region image, the reference image, or both the target region image and the reference image as part of their respective acquisition steps. 16. The method of 1 where the aerial platform is one of a munition or a vehicle. 17. A method for improving targeting accuracy of a GPS guided munition: acquiring a firing station image;precisely locating firing emplacement locations using a remapped image;acquiring GPS locations of the firing emplacements;using the difference from the firing emplacement locations and the GPS locations to correct targeting and generate corrected targeting data; andat least one of: controlling movement of the GPS guided munition using the corrected targeting data; ortransmitting the corrected targeting data to a system configured to control the movement of the GPS guided munition using the corrected targeting data. 18. A method of improving navigational position fix for an aerial platform comprising: acquiring a ground image using sensors embedded on the aerial platform;recording a GPS signal locating the ground image using a remapped image;locating the aerial platform using the ground image;correcting in situ navigational data of the aerial platform using information gained in location to generate corrected navigational data; andtransmitting the corrected navigational data to a system configured to at least one of monitor or control movement of the aerial platform using the corrected navigational data. 19. The method of 18 where the aerial platform is a munition. 20. The method of 19 where the aerial platform is a cruise missile. 21. A method for precisely targeting a munition, comprising: acquiring a firing station image;locating firing emplacement locations using a remapped image technique;transmitting the firing emplacement locations to fire control;acquiring a target image;locating targets within the target image using the remapped image technique;transmitting the firing emplacement locations to fire control; andreleasing munitions utilizing the firing emplacement locations, and the target locations.