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) for efficient spatial feature data analysis. The methods involve simultaneously generating two or more chip images (904) using image data defining a first image (508); concurrently displaying an array (906) comprising all or a portion of the chip images in a plug-in window (702); and displaying in the plug-in window information relating to an attribute (a1, a2) of a feature (A5) contained in a selected one of the displayed chip images (1002). The chip images are generated in response to a user selection of a feature (A1) contained in at least a portion of the first image displayed in an application window (504). Each of the chip images comprises a panned view, a zoomed view, or a panned-and-zoomed view of the first image including one or more features of a user-selected feature class.

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 spatial feature data analysis. The methods involve simultaneously generating two or more chip images (904) using image data defining a first image (508); concurrently displaying an array (906) comprising all or a portion of the chip images in a plug-in window (702); and displaying in the plug-in window information relating to an attribute (a1, a2) of a feature (A5) contained in a selected one of the displayed chip images (1002). The chip images are generated in response to a user selection of a feature (A1) contained in at least a portion of the first image displayed in an application window (504). Each of the chip images comprises a panned view, a zoomed view, or a panned-and-zoomed view of the first image including one or more features of a user-selected feature class.

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.