Harris Corporation

Eagle Technology, LLC

Emile Ganthier

Mark Donald Rahmes

Josef Allen

Edward Ray Beadle

Gnana Bhaskar Tenali

John Warner Shipley

Josef De Vaughn Allen

Sean Kevin Freeman

Matthew Winter

Gregory Medlin

Stephen T Hogue

John Fitzgerald Dishman

Paul David Anderson

Kenneth Sartor

Steve Richter

Patrick Kelley

Anthony O'Neil Smith

Glenn Boudreaux

Adrian M Peter

Donald Alan Lieb

William W Watkins

Bernard S Gilbert

Joseph Hucks

William G Medlin

Stephen Hogue

John Shipley

Bernard Gilbert

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.

System using a priori terrain height data for interferometric synthetic aperture radar (IFSAR) phase disambiguation and related methods

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.

Method and system using a polarimetric feature for detecting oil covered by ice

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.

Method and system using coordinated airborne and ground platforms for detecting oil covered by ice

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.

Method and system using radiometric volumetric data for detecting oil covered by ice

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.

Geospatial modeling system providing windowed geospatial model data inpainting and related methods

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. The processor may further cooperate with the geospatial model data storage device for iteratively inpainting data into the at least one void in the geospatial model frequency domain data set to generate an inpainted geospatial model frequency domain data set, selecting and transforming a test sample of the inpainted geospatial model frequency domain data set into a corresponding test sample geospatial model spatial domain data set, and comparing the reference sample geospatial model spatial domain data set and the test sample geospatial model spatial domain data set to determine whether to stop the iterative inpainting.

Geospatial modeling system providing inpainting with stopping metric and related methods

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.

Geospatial modeling system providing void inpainting based upon selectable inpainting functions and related methods

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.

Method and apparatus for registration and vector extraction of SAR images based on an anisotropic diffusion filtering algorithm

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.

Geospatial modeling system providing non-linear in painting for voids in geospatial model frequency domain data and related methods

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.

Method and apparatus for processing SAR images based on a complex anisotropic diffusion filtering algorithm

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.

Method and apparatus for compression of SAR images

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.

Method and apparatus for decompression of SAR images

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.

Method and apparatus for processing SAR images based on an anisotropic diffusion filtering algorithm

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.

Method and apparatus for processing complex interferometric SAR data

A synthetic aperture radar (SAR) compensates for ionospheric distortions based upon measurement of the group delay, particularly when operating in the VHF/UHF band. The SAR is based upon a multi-input multi-output (MIMO) technique for estimating the effective ionospheric conditions, which is referred to as the group delay approach. The group delay approach is divided into a 1-dimensional (range) approach and a 2-dimensional (range and cross-range) approach. The group delay measures the effective or observed TEC, which is used to reduce the ionospheric distortion.

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Palm Bay, FL, United States of America

Emile Ganthier