Abstract: A computer system for decompressing synthetic aperture radar (SAR) images includes a database for storing SAR images to be decompressed, and a processor for decompressing a SAR image from the database. The decompressing includes receiving the SAR image, performing a dynamic range compression on the SAR image, and quantizing the compressed SAR image. The quantized compressed SAR image is then decompressed by applying an anistropic diffusion algorithm thereto.

Abstract: A computer system for processing synthetic aperture radar (SAR) images includes a database for storing SAR images to be processed, and a processor for processing a SAR image from the database. The processing includes determining noise in a SAR image to be processed, selecting a noise threshold for the SAR image based on the determined noise, and mathematically adjusting an anisotropic diffusion algorithm based on the selected noise threshold. The adjusted anisotropic diffusion algorithm is applied to the SAR image.

Abstract: A geospatial modeling system may include a geospatial data storage device, and a processor cooperating with the geospatial data storage device for selectively inpainting data into at least one void in geospatial model data using a partial differential equation (PDE) algorithm and an exemplar algorithm.

Abstract: A geospatial modeling system may include a geospatial model database and a processor. More particularly, the processor may cooperate with the geospatial model database for inpainting data into at least one void in geospatial model cultural feature data based upon propagating contour data from outside the at least one void into the at least one void.

Abstract: A computer system for processing interferometric synthetic aperture radar (SAR) images includes a database for storing SAR images to be processed, and a processor for processing interferometric SAR images from the database. The processing includes receiving first and second complex SAR data sets of a same scene, with the second complex SAR data set being offset in phase with respect to the first complex SAR data set. Each complex SAR data set includes a plurality of pixels. An interferogram is formed based on the first and second complex SAR data sets for providing a phase difference therebetween. A complex anisotropic diffusion algorithm is applied to the interferogram. The interferogram includes a real and an imaginary part for each pixel. A shock filter is applied to the interferogram. The processing further includes performing a two-dimensional variational phase unwrapping on the interferogram after application of the shock filter.

Abstract: A geospatial modeling system may include a geospatial model database and a processor. The processor may cooperate with the geospatial model database for inpainting data into at least one void in geospatial model terrain data based upon propagating contour data from outside the at least one void into the at least one void.

Abstract: A computer system for decompressing synthetic aperture radar (SAR) images includes a database for storing SAR images to be decompressed, and a processor for decompressing a SAR image from the database. The decompressing includes receiving the SAR image, performing a dynamic range compression on the SAR image, and quantizing the compressed SAR image. The quantized compressed SAR image is then decompressed by applying an anistropic diffusion algorithm thereto.

Abstract: A computer system for processing interferometric synthetic aperture radar (SAP) images includes a database for storing SAR images to be processed, and a processor for processing interferometric SAR images from the database. The processing includes receiving first and second complex SAR data sets of a same scene, with the second complex SAR data set being offset in phase with respect to the first complex SAR data set. Each complex SAR data set includes a plurality of pixels. An interferogram is formed based on the first and second complex SAR data sets for providing a phase difference therebetween. A complex anisotropic diffusion algorithm is applied to the interferogram. The interferogram includes a real and an imaginary part for each pixel. A shock filter is applied to the interferogram. The processing further includes performing a two-dimensional variational phase unwrapping on the interferogram after application of the shock filter.

Abstract: A computer system for registering synthetic aperture radar (SAR) images includes a database for storing SAR images to be registered, and a processor for registering SAR images from the database. The registering includes selecting first and second SAR images to be registered, individually processing the selected first and second SAR images with an anisotropic diffusion algorithm, and registering the first and second SAR images after the processing. A shock filter is applied to the respective first and second processed SAR images before the registering. Elevation data is extracted based on the registered SAR images.

Abstract: A computer system for processing complex synthetic aperture radar (SAR) images includes a database for storing complex SAR images to be processed, and a processor for processing a complex SAR image from the database. The processing includes receiving a complex SAR data set for a SAR image comprising a plurality of pixels, and applying a complex anisotropic diffusion algorithm to the complex SAR data set. The complex SAR data set includes a real and an imaginary part for each pixel.

Abstract: A computer system for compressing synthetic aperture radar (SAR) images includes a database for storing SAR images to be compressed, and a processor for compressing a SAR image from the database. The compressing includes applying an anisotropic diffusion algorithm to the SAR image, and compressing the SAR image after applying the anisotropic diffusion algorithm thereto. Applying the anisotropic diffusion algorithm includes determining noise in the SAR, selecting a noise threshold for the SAR image based on the determined noise, and mathematically adjusting the anisotropic diffusion algorithm based on the selected noise threshold.

Abstract: A computer system for processing synthetic aperture radar (SAR) images includes a database for storing SAR images to be processed, and a processor for processing a SAR image from the database. The processing includes determining noise in a SAR image to be processed, selecting a noise threshold for the SAR image based on the determined noise, and mathematically adjusting an anisotropic diffusion algorithm based on the selected noise threshold. The adjusted anisotropic diffusion algorithm is applied to the SAR image.

Abstract: A geospatial modeling system may include a geospatial model database containing geospatial model data, a display, and a processor. The processor may cooperate with the geospatial model database and the display for determining a respective group of tree crown vegetation points from the geospatial model data for each tree of a plurality of trees, and for displaying a respective simulated tree trunk beneath each group of tree crown vegetation points. The processor may generate each simulated tree trunk to have a tree trunk height based upon heights of the respective group of tree crown vegetation points.

Abstract: A fingerprint processing system may include a fingerprint database for storing fingerprint data having at least one void therein. At least one processor may cooperate with the fingerprint database for inpainting data into the at least one void in the fingerprint data based upon propagating fingerprint contour data from outside the at least one void into the at least one void.

Abstract: A geospatial modeling system may include a geospatial model database and a processor. More particularly, the processor may cooperate with the geospatial model database for inpainting data into at least one void in geospatial model frequency domain data based upon propagating contour data from outside the at least one void into the at least one void, and for converting the geospatial model frequency domain data after inpainting into geospatial model spatial domain data.