Harris Corporation

Eagle Technology, LLC

Harlan Yates

Mark Donald Rahmes

Anthony O'Neil Smith

Stephen Connetti

Patrick Kelley

Josef Allen

Adrian M Peter

John L Delay

Timothy B Faulkner

Glenn Boudreaux

John D Karp

Eric P Spellman

Todd E Ham

William W Watkins

Robert M Garceau

Josef De Vaughn Allen

Brian Hicks

John Sullivan

Kathleen Berisford

David Elsner

Jay Hermann

Anthony O'neil Smith

A system may include a memory and a processor cooperating therewith to obtain geospatial image data from a plurality of different types of sensors and generate a three-dimensional (3D) geospatial model therefrom. The processor may further determine a reference image within the 3D geospatial model based upon synthetically positioning an image sensor within the 3D geospatial model, and perform change detection between a collected image and the reference image based upon semantic change detection using deep learning.

System for performing change detection within a 3D geospatial model based upon semantic change detection using deep learning and related methods

A geospatial modeling system may include a geospatial model data storage device, a user input device, and a display. A processor may be included for cooperating with the geospatial model data storage device, the user input device and the display for displaying a geospatial model data set on the display including at least one group of building data points, and displaying a plurality of user-selectable different building shapes on the display based upon the at least one group of building data points. The plurality of user-selectable different building shapes may have different respective feature detail levels. The processor may further replace the at least one group of building data points with a given one of the user-selectable different building shapes based upon user selection thereof with the user input device.

Geospatial modeling system providing user-selectable building shape options 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 identifying a plurality of localized error regions within a geospatial model data set, calculating an overall error value for the geospatial model data set, and inpainting at least one of the localized error regions and re-calculating the overall error value, and stopping inpainting when the overall error value is below an error threshold.

Geospatial modeling system providing inpainting and error calculation features and related methods

A geospatial modeling system may include a geospatial model data storage device and a processor cooperating therewith for determining a void within a geospatial model data set defining a void boundary region, and selecting at least one raw fill region from within the geospatial model data set for filling the void. The processor may also cooperate with the geospatial model data storage device for adjusting elevation values of the at least one raw fill region based upon elevation differences between corresponding portions of the void boundary region and the at least one raw fill region, and updating the geospatial model based upon the adjusted elevation values of the at least one raw fill region.

Geospatial modeling system using void filling and related methods

A geospatial modeling system may include a geospatial model data storage device containing geospatial model data including a plurality of groups of tree crown vegetation points and a display. The system may further include a processor cooperating with the geospatial model data storage device and the display for displaying a simulated tree trunk beneath a group of tree crown vegetation points, and displaying at least one level of simulated tree branches for the simulated tree trunk. Each tree branch may be positioned based upon determining a branch distal reference point beneath a cluster of tree crown vegetation points from among the group of tree crown vegetation points.

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

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. 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 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

Melbourne, FL, United States of America

Harlan Yates