GEOSPATIAL MODELING SYSTEM PROVIDING BUILDING ROOF TYPE IDENTIFICATION FEATURES AND RELATED METHODS
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Abstract
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.
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Citations
51 Claims
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1-27. -27. (canceled)
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28. A geospatial modeling system comprising:
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a geospatial model database; and a processor cooperating with said geospatial model database for three-dimensional shape processing, said processor configured to isolate a plurality of building roof data points of a building, apply a centered Robert'"'"'s cross grid to each of the plurality of building data points and sum distances of points on opposite sides for each side of the respective centered Robert'"'"'s cross grid, identify localized peak building roof data points from among the plurality of building roof data points based upon a comparison of the summed distances with a threshold value, select a building roof area of the building, and determine a standard deviation for the localized peak building roof data points over the selected building roof area. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36)
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37. A geospatial modeling system comprising:
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a geospatial model database; and a processor cooperating with said geospatial model database for three-dimensional shape processing to identify a building roof type as being from among a flat roof type, a sloped roof type, a complex sloped roof type, and a domed roof type; said processor configured to isolate a plurality of building roof data points of a building by removing ground and vegetation data points from geospatial model data, apply a centered Robert'"'"'s cross grid to each of the plurality of building data points and sum distances of points on opposite sides for each side of the respective centered Robert'"'"'s cross grid, identify localized peak building roof data points from among the plurality of building roof data points based upon a comparison of the summed distances with a threshold value, select a building roof area of the building, and determine a standard deviation for the localized peak building roof data points over the selected building roof area. - View Dependent Claims (38, 39, 40, 41, 42, 43)
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44. A geospatial modeling method comprising:
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storing building roof data points in a geospatial model database; and using a processor cooperating with the geospatial model database for three-dimensional shape processing to isolate a plurality of building roof data points of a building, apply a centered Robert'"'"'s cross grid to each of the plurality of building data points and sum distances of points on opposite sides for each side of the respective centered Robert'"'"'s cross grid, identify localized peak building roof data points from among the plurality of building roof data points based upon a comparison of the summed distances with a threshold value, select a building roof area of the building, and determine a standard deviation for the localized peak building roof data points over the selected building roof area. - View Dependent Claims (45, 46, 47, 48, 49, 50, 51)
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Specification