Abstract: 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 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.

Abstract: 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 comprising at least one sum of differences operation, and separating foliage data from the building data based upon the at least one noise filtering operation.

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.

Abstract: 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.

Abstract: 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.

Abstract: A method (100) comprises steps of: receiving a first digital model (102) of a first three-dimensional scene comprising at least one object; receiving a second digital model (112) of a second three-dimensional scene comprising at least one object; and performing a change analysis (102) 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 (110) 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 (120) and an object level change database (124) is produced.