Abstract:
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.
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 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.
Abstract:
Systems (100) and methods (300) for efficiently and accurately detecting changes in feature data. The methods generally involve: determining first vectors for first features extracted from a first image using pixel information associated therewith; comparing the first vectors with second vectors defined by spatial feature data; classifying the first features into a plurality of classes based on the results of the vector comparisons; and analyzing the first image to determine if any one of the first features of at least one of the plurality of classes indicates that a relevant change has occurred in relation to an object represented thereby.
Abstract:
Systems (100) and methods (300, 3200, 3500) for analyzing topographical models. The methods involve receiving a user input selecting a first content type from a plurality of content types. In response to the reception of the user input, First Model Chips (“FMCs”) are simultaneously generated using terrain elevation data defining a First Topographical Model (“FTM”). Each FMC (1304) comprises at least one of a panned-only view, a zoomed-only view, and a panned-and-zoomed view of FTM (400, 500, 3304, 3306) including at least one item (402-406, 1310) of the first content type that is different from all other items of all other FMCs. Thereafter, a first screen page (1302, 3400) is displayed on a display screen of a computing device. The first screen page comprises a first array (1306, 3404) defined by a plurality of first cells (1308, 3406). Each of the first cells has one of FMCs presented therein.
Abstract:
Systems (100) and methods (300) for efficient feature data analysis. The methods involve: determining a first number of screen pages needed to verify that each of a plurality of clusters of detected features comprises only detected features which were correctly identified during feature extraction/detection operations as being of the same feature class as a selected feature of an image; determining a second number of screen pages needed to verify that each of a plurality of singular detected features was correctly identified during the feature extraction/detection operations as being of the same feature class as the selected feature of the image; selecting one of a plurality of different validation processes based on values of the first number of screen pages and the second number of screen pages; and performing the selected validation process to verify that each of the detected features does not constitute a false positive.
Abstract:
A geospatial modeling system may include a geospatial model data storage device and a processor cooperating with the geospatial model data storage device for inpainting seam-smoothed, void-fill data into a void in a geospatial data set for a geospatial region. The processor may select raw void-fill data from the geospatial data set, and generate the seam-smoothed, void-fill data by applying Poisson's equation to the raw void-fill data using boundary conditions based upon data along a corresponding interface between the void region and adjacent portions of the geospatial region.
Abstract:
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.
Abstract:
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.
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.