Harris Corporation

Gnana Bhaskar Tenali

Mark Donald Rahmes

Emile Ganthier

Josef De Vaughn Allen

Edward Ray Beadle

Josef Allen

Morteza Akbari

Kenneth Sartor

J Hartan Yates

Bernard S Gilbert

Bernard Gilbert

Method for improving the quality of a set of a three dimensional (3D) point cloud data representing a physical surface by detecting and filling null spaces (). The method includes analyzing () the data to identify the presence of a plurality of level 1 fractals (), each defined by a plurality of voxels () containing data points arranged in one of a plurality of three-dimensional patterns. The method also includes selectively filling () voxels in the 3D point cloud data with a first predetermined limited number of data points to increase a number of instances where level 2 fractals () can be used for representing the 3D point cloud data. Each level 2 fractal is defined as a common plurality of the level 1 fractals having a common three-dimensional pattern, where the common plurality of level 1 fractals are also arranged in accordance with the common three dimensional pattern.

Fractal method for detecting and filling data gaps within LiDAR data

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 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.

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West Melbourne, FL, United States of America

Gnana Bhaskar Tenali