Harris Corporation

Other

Stephen Connetti

Mark Donald Rahmes

Harlan Yates

Anthony O'Neil Smith

Anthony Nicholas Smith

Patrick Kelley

Josef Allen

John D Karp

J Harlan Yates

Adrian M Peter

Stephan Walker Miller

Anthony O'neil Smith

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 database for storing geospatial data points each having respective elevations associated therewith. The system may further include a processor for data thinning the geospatial data points by selecting discriminant points therefrom. The processor may select discriminant points based upon: (a) identifying a current patch having a plurality of spaced-apart current geospatial data boundary points; (b) selecting a current discriminant point within the current patch based upon sequentially stepping through the geospatial data points therein to determine respective elevation differences relative to the current geospatial boundary points and comparing the elevation differences to a threshold range; (c) identifying a plurality of new patches, each having a plurality of spaced-apart new geospatial boundary points including the current discriminant point; and (d) iteratively repeating steps (b) and (c) for each of the new patches until no further new discriminant point is selected.

Geospatial modeling system providing data thinning of geospatial data points 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 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

A computer implemented method is for processing a digital elevation model (DEM) including data for a plurality of objects. The method includes determining a perimeter versus area parameter for each object in the DEM, and comparing the perimeter versus area parameter for each object to a threshold to identify whether each object in the DEM is a building or foliage.

Method and apparatus for distinguishing foliage from buildings for topographical modeling

A computer implemented method is for processing an original digital elevation model (DEM) including data for terrain and a plurality of objects thereon. The method includes generating a lower-resolution DEM from the original DEM, and generating an objects-only DEM based upon a comparison of the lower-resolution DEM and the original DEM. The method further includes reducing noise in the objects-only DEM.

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Melbourne, FL, United States of America

Stephen Connetti