Harris Corporation

Anthony O'Neil Smith

Mark Donald Rahmes

Harlan Yates

Stephen Connetti

Josef Allen

Adrian M Peter

Kathleen Marie Minear

Edward Ray Beadle

Emile Ganthier

Patrick Kelley

John D Karp

Todd E Ham

Robert M Garceau

Philip Smith

Donald Pooley

Kathleen Berisford

David Elsner

Nicholas Sven Shorter

A geospatial imaging system may include a geospatial data storage device configured to store a geospatial dataset including geospatial data points. A processor may cooperate with the geospatial data storage device to determine segments within the geospatial dataset, with each segment including neighboring geospatial data points within the geospatial dataset sharing a common geometric characteristic from among different geometric characteristics. The processor may further determine border geospatial data points of adjacent segments, compare the border geospatial data points of the adjacent segments to determine bare earth segments having respective heights below those of the border geospatial data points of adjacent segments, and classify geospatial data points within each bare earth segment as bare earth geospatial data points.

Geospatial imaging system providing segmentation and classification features and related methods

Method and system for registration of a two dimensional image data set and a three-dimensional image comprising point cloud data. The method begins by cropping a three-dimensional volume of point cloud data comprising a three-dimensional image data to remove a portion of the point cloud data comprising a ground surface within a scene, and dividing the three-dimensional volume into a plurality of m sub-volumes. Thereafter, the method continues by edge-enhancing a two-dimensional image data. Then, for each qualifying sub-volume, creating a filtered density image, calculating a two-dimensional correlation surface based on the filtered density image and the two-dimensional image data that has been edge enhanced, finding a peak of the two-dimensional correlation surface, determining a corresponding location of the peak within the two-dimensional image, defining a correspondence point set; and storing the correspondence point set in a point set list. Finally, a transformation is determined that minimizes the error between a plurality of the correspondence point sets contained in the point set list.

Registration of 3D point cloud data to 2D electro-optical image data

Method and system for combining a 2D image with a 3D point cloud for improved visualization of a common scene as well as interpretation of the success of the registration process. The resulting fused data contains the combined information from the original 3D point cloud and the information from the 2D image. The original 3D point cloud data is color coded in accordance with a color map tagging process. By fusing data from different sensors, the resulting scene has several useful attributes relating to battle space awareness, target identification, change detection within a rendered scene, and determination of registration success.

Fusion of a 2D electro-optical image and 3D point cloud data for scene interpretation and registration performance assessment

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.

Exemplar/PDE-based technique to fill null regions and corresponding accuracy assessment

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.

Geospatial modeling system providing non-linear inpainting for voids in geospatial model terrain data and related methods

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 geospatial modeling system may include a geospatial model database and a processor. The processor may cooperate with the geospatial database for identifying a building roof type defined by building roof data points as being from among a plurality of possible building roof types. This may be done based upon applying multi-directional gradient calculations to the building roof data points.

Geospatial modeling system providing building roof type identification features and related methods

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.

Geospatial modeling system providing non-linear inpainting for voids in geospatial model cultural feature data and related methods

A geospatial modeling system may include a geospatial model database and a processor cooperating therewith for filtering geospatial model data. This may be done by selectively updating a target point based upon adjacent points lying along a plurality of radial line segments extending outwardly from the at least one target point.

Geospatial modeling system providing geospatial model data target point filtering based upon radial line segments and related methods

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.

Geospatial modeling system providing simulated tree trunks for groups of tree crown vegitation points and related methods

A geospatial modeling system may include a geospatial model database and a processor cooperating therewith for performing at least one noise filtering operation on data comprising elevations associated with respective location points. The at least one noise filtering operation may include determining a respective center point elevation difference for each location point and based upon a sum of differences between elevations of a given location point and a plurality of neighboring location points.

Geospatial modeling system for performing filtering operations based upon a sum of differences of a given and neighboring location points and related methods

A method () comprises steps of: receiving a first digital model () of a first three-dimensional scene comprising at least one object; receiving a second digital model () of a second three-dimensional scene comprising at least one object; and performing a change analysis () on the first and second digital models to provide a difference indication representing a difference between the first and second models. In one embodiment a mean square error operation () is performed on the first and second digital models to provide a value indicating the difference between the digital models. In another embodiment, a conflation operation is performed on the difference model provided by the change analysis () and an object level change database () is produced.

System and method for three dimensional change detection and measurement of a scene using change analysis

A geospatial modeling system may include a geospatial model database and a processor. The processor may cooperate with the geospatial model database for extracting ground data from foliage and building data, performing at least one noise filtering operation on the foliage and building data including at least one sum of differences operation, and separating foliage data from the building data based upon the at least one noise filtering operation.

Geospatial modeling system for separating foliage data from building data based upon noise filtering operations and related methods

A geospatial modeling system may include a geospatial model database and a processor. The processor may cooperate with the geospatial model database for extracting ground data from foliage and building data, and performing a plurality of noise filtering operations on the foliage and building data including a first loose tolerance filtering to determine an inclusive estimate of building locations and a second strict tolerance filtering to reduce false building locations. The processor may also cooperate with the geospatial model database for performing at least one edge recovery operation to compensate for noisy building perimeters, and separating foliage data from the building data based upon the noise filtering operations and the at least one edge recovery operation.

Geospatial modeling system for separating foliage data from building data based upon loose and strict tolerance noise filtering operations and related methods

Growing community of inventors

Gainesville, FL, United States of America

Anthony O'Neil Smith