Abstract: A system may include a memory and a processor cooperating therewith to obtain geospatially registered first and second interferometric synthetic aperture radar (IFSAR) images of a geographic area having respective first and second actual grazing angles with a difference therebetween, and convert the first IFSAR image to a modified first IFSAR image having a modified first grazing angle based upon known terrain elevation data for the geographic area. The modified first grazing angle may be closer to the second actual grazing angle than the first actual grazing angle. The processor may further recover updated terrain elevation data for the geographic area based upon the modified first IFSAR image and the second IFSAR image.

Abstract: A system may include a memory and a processor cooperating therewith to obtain geospatially registered first and second interferometric synthetic aperture radar (IFSAR) images of a geographic area having respective first and second actual grazing angles with a difference therebetween, and convert the first IFSAR image to a modified first IFSAR image having a modified first grazing angle based upon known terrain elevation data for the geographic area. The modified first grazing angle may be closer to the second actual grazing angle than the first actual grazing angle. The processor may further recover updated terrain elevation data for the geographic area based upon the modified first IFSAR image and the second IFSAR image.

Abstract: A method for detecting an oil mass covered by ice includes collecting polarimetric radar data at different depths into the ice using at least one airborne platform moved about a search area above the ice so that the polarimetric radar data defines polarimetric volumetric radar data. The polarimetric volumetric radar data is processed based upon at least one polarimetric feature to thereby detect an oil mass covered by the ice.

Abstract: A method for detecting an oil mass covered by ice includes collecting radiometric data different frequencies, corresponding to respective different depths into the ice, using at least one airborne platform moved about a search area above the ice so that the radiometric data defines radiometric volumetric data. The radiometric volumetric data is processed to thereby detect an oil mass covered by the ice.

Abstract: A method for detecting an oil mass covered by ice includes collecting alert data at a first probability of detection using an airborne platform moved about a search area above the ice. An alert area having a likelihood of an oil mass covered by the ice is determined based upon the alert data. Confirmation data is collected at a second probability of detection higher than the first probability of detection using a ground platform moved over the alert area. An oil mass covered by the ice is detected based upon the confirmation data.

Abstract: A method for detecting an oil mass covered by ice includes collecting alert data at a first probability of detection using an airborne platform moved about a search area above the ice. An alert area having a likelihood of an oil mass covered by the ice is determined based upon the alert data. Confirmation data is collected at a second probability of detection higher than the first probability of detection using a ground platform moved over the alert area. An oil mass covered by the ice is detected based upon the confirmation data.

Abstract: A method for detecting an oil mass covered by ice includes collecting radiometric data different frequencies, corresponding to respective different depths into the ice, using at least one airborne platform moved about a search area above the ice so that the radiometric data defines radiometric volumetric data. The radiometric volumetric data is processed to thereby detect an oil mass covered by the ice.

Abstract: A method for detecting an oil mass covered by ice includes collecting polarimetric radar data at different depths into the ice using at least one airborne platform moved about a search area above the ice so that the polarimetric radar data defines polarimetric volumetric radar data. The polarimetric volumetric radar data is processed based upon at least one polarimetric feature to thereby detect an oil mass covered by the ice.

Abstract: A geospatial modeling system may include a geospatial model data storage device, and a processor. The processor may cooperate with the geospatial model data storage device for windowing geospatial model spatial domain data to define a plurality of windowed geospatial model spatial domain data sets, and transforming the plurality of windowed geospatial model spatial domain data sets to define a plurality of corresponding geospatial model frequency domain data sets, each having at least one void therein. The processor may further cooperate with the geospatial model data storage device for inpainting data into the at least one void of each geospatial model frequency domain data set to define a plurality of inpainted geospatial model frequency domain data sets, and reconstructing the plurality of inpainted geospatial model frequency domain data sets into an overall geospatial model frequency domain data set.

Abstract: A geospatial modeling system may include a geospatial model data storage device and a processor. The processor may cooperate with the geospatial model data storage device for selecting and transforming a reference sample of a geospatial model frequency domain data set into a corresponding reference sample geospatial model spatial domain data set, where the geospatial model frequency domain data set has at least one void therein.

Abstract: A geospatial modeling system may include a geospatial model data storage device and a processor. The processor may cooperate with the geospatial model data storage device for selecting and transforming a reference sample of a geospatial model frequency domain data set into a corresponding reference sample geospatial model spatial domain data set, and inpainting data into at least one void of the geospatial model frequency domain data set based upon an initial selected inpainting function from among a plurality of different inpainting functions. The processor may further select and transform a test sample of the inpainted geospatial model frequency domain data set into a corresponding test sample geospatial model spatial domain data set, and compare the reference sample geospatial model spatial domain data set and the test sample geospatial model spatial domain data set to determine whether to repeat the inpainting using a different inpainting function from among the plurality thereof.

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 geospatial modeling system includes a geospatial model database having stored therein a colorized three-dimensional (3D) model of a geographical area, and a processor cooperating with the geospatial model database. The processor is configured to generate an estimated monochromatic image corresponding to a collected monochromatic image based upon the colorized 3D model, generate a monochromatic difference image between the estimated monochromatic image and the collected monochromatic image, and generate a colorized image corresponding to the collected monochromatic image based upon the monochromatic difference image.

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.

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 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 geospatial modeling system may include a geospatial model data storage device and a processor. The processor may cooperate with the geospatial model data storage device for selecting and transforming a reference sample of a geospatial model frequency domain data set into a corresponding reference sample geospatial model spatial domain data set, and inpainting data into at least one void of the geospatial model frequency domain data set based upon an initial selected inpainting function from among a plurality of different inpainting functions. The processor may further select and transform a test sample of the inpainted geospatial model frequency domain data set into a corresponding test sample geospatial model spatial domain data set, and compare the reference sample geospatial model spatial domain data set and the test sample geospatial model spatial domain data set to determine whether to repeat the inpainting using a different inpainting function from among the plurality thereof.

Abstract: A geospatial modeling system may include a geospatial model data storage device, and a processor. The processor may cooperate with the geospatial model data storage device for windowing geospatial model spatial domain data to define a plurality of windowed geospatial model spatial domain data sets, and transforming the plurality of windowed geospatial model spatial domain data sets to define a plurality of corresponding geospatial model frequency domain data sets, each having at least one void therein. The processor may further cooperate with the geospatial model data storage device for inpainting data into the at least one void of each geospatial model frequency domain data set to define a plurality of inpainted geospatial model frequency domain data sets, and reconstructing the plurality of inpainted geospatial model frequency domain data sets into an overall geospatial model frequency domain data set.

Abstract: A geospatial modeling system may include a geospatial model data storage device and a processor. The processor may cooperate with the geospatial model data storage device for wavelet decomposing at least one geospatial model frequency domain data set having at least one void therein to define a plurality of scaled versions of the geospatial model frequency domain data set. Moreover, the processor may further cooperate with the geospatial model data storage device for inpainting data into the at least one void to define a plurality of inpainted scaled versions of the geospatial model frequency domain data set, and reconstructing the plurality of inpainted scaled versions of the geospatial model frequency domain data set into a reconstructed geospatial model frequency domain data set.