Abstract: Systems and methods are disclosed for creating a mosaic image of two or more geo-referenced source images, the geo-referenced source images having the same orientation, based on a ground confidence map created by analyzing pixels of one or more of the geo-referenced source images, the ground confidence map having values and data indicative of particular geographic locations represented by the values, at least one of the values indicative of a statistical probability that the particular geographic locations represented by the values represents the ground; and using routes for steering mosaic cut lines based at least in part on the values indicative of the statistical probability that the particular geographic locations represented by the values represents the ground of the ground confidence map, such that the routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.

Abstract: Systems and methods are disclosed for creating a mosaic image of two or more geo-referenced source images, the geo-referenced source images having the same orientation, based on a ground confidence map created by analyzing pixels of one or more of the geo-referenced source images, the ground confidence map having values and data indicative of particular geographic locations represented by the values, at least one of the values indicative of a statistical probability that the particular geographic locations represented by the values represents the ground; and using routes for steering mosaic cut lines based at least in part on the values indicative of the statistical probability that the particular geographic locations represented by the values represents the ground of the ground confidence map, such that the routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.

Abstract: Systems and methods are disclosed for creating a mosaic image of two or more geo-referenced source images, the geo-referenced source images having the same orientation, based on a ground confidence map created by analyzing pixels of one or more of the geo-referenced source images, the ground confidence map having values and data indicative of particular geographic locations represented by the values, at least one of the values indicative of a statistical probability that the particular geographic locations represented by the values represents the ground; and using routes for steering mosaic cut lines based at least in part on the values indicative of the statistical probability that the particular geographic locations represented by the values represents the ground of the ground confidence map, such that the routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.

Abstract: Systems and methods are disclosed for creating a mosaic image of two or more geo-referenced source images, the geo-referenced source images having the same orientation, based on a ground confidence map created by analyzing pixels of one or more of the geo-referenced source images, the ground confidence map having values and data indicative of particular geographic locations represented by the values, at least one of the values indicative of a statistical probability that the particular geographic locations represented by the values represents the ground; and using routes for steering mosaic cut lines based at least in part on the values indicative of the statistical probability that the particular geographic locations represented by the values represents the ground of the ground confidence map, such that the routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.

Abstract: Systems and methods for creating a ground confidence map of a geographic area, comprising the steps of creating a ground confidence map of a geographic area, the ground confidence map having a plurality of pixels with each pixel corresponding to a particular geographic location; assigning the pixels in the ground confidence map with pixel values indicative of composite ground confidence scores; and storing pixel values indicative of a statistical probability that the geographical location represented by the particular pixels represent the ground.

Abstract: Systems and methods for creating a ground confidence map of a geographic area, comprising the steps of creating a ground confidence map of a geographic area, the ground confidence map having a plurality of pixels with each pixel corresponding to a particular geographic location; assigning the pixels in the ground confidence map with pixel values indicative of composite ground confidence scores; and storing pixel values indicative of a statistical probability that the geographical location represented by the particular pixels represent the ground.

Abstract: Systems and methods for creating a ground confidence map of a geographic area, comprising the steps of creating a ground confidence map of a geographic area, the ground confidence map having a plurality of pixels with each pixel corresponding to a particular geographic location; assigning the pixels in the ground confidence map with pixel values indicative of composite ground confidence scores by calculating composite ground confidence scores for the pixel values of common geographic regions within the overlapping portions of the source images within a kernel corresponding to the particular geographic location of the pixels; and storing pixel values indicative of a statistical probability that the geographical location represented by the particular pixels represent the ground.

Abstract: Systems and methods for creating a ground confidence map of a geographic area, comprising the steps of creating a ground confidence map of a geographic area, the ground confidence map having a plurality of pixels with each pixel corresponding to a particular geographic location; assigning the pixels in the ground confidence map with pixel values indicative of composite ground confidence scores by calculating composite ground confidence scores for the pixel values of common geographic regions within the overlapping portions of the source images within a kernel corresponding to the particular geographic location of the pixels; and storing pixel values indicative of a statistical probability that the geographical location represented by the particular pixels represent the ground.

Abstract: Systems and methods for creating a ground confidence map of a geographic area, comprising the steps of creating a ground confidence map of a geographic area, the ground confidence map having a plurality of pixels with each pixel corresponding to a particular geographic location; assigning the pixels in the ground confidence map with pixel values indicative of composite ground confidence scores by calculating composite ground confidence scores for the pixel values of common geographic regions within the overlapping portions of the source images within a kernel corresponding to the particular geographic location of the pixels; and storing pixel values indicative of a statistical probability that the geographical location represented by the particular pixels represent the ground.

Abstract: Systems and methods for creating a ground confidence map of a geographic area, comprising the steps of creating a ground confidence map of a geographic area, the ground confidence map having a plurality of pixels with each pixel corresponding to a particular geographic location; assigning the pixels in the ground confidence map with pixel values indicative of composite ground confidence scores by calculating composite ground confidence scores for the pixel values of common geographic regions within the overlapping portions of the source images within a kernel corresponding to the particular geographic location of the pixels; and storing pixel values indicative of a statistical probability that the geographical location represented by the particular pixels represent the ground.

Abstract: A method for automatically steering mosaic cut lines along preferred routes to form an output mosaic image includes creating an assignment map corresponding to the output mosaic image where each pixel has an initial designation of unassigned; marking each pixel of the assignment map that intersects the preferred routes as being a Preferred Cut Line pixel to divide the Assignment Map into one or more regions; searching for each region to locate one or more source images that cover that region; and using a Selection Heuristic or Pairing Heuristic to determine quality of coverage. The Preferred Cut Line pixels are redesignated to match the image assignments of their bounded regions, and the output mosaic image is formed by contributing pixel values from the source images based upon the designations set forth in the assignment map.

Abstract: A method for determining preferred routes for steering mosaic cut line to form an output mosaic image included the steps of generating a ground confidence map of a geographic area by analyzing overlapping portions of digital source images of the geographic area with such digital source images captured from different vantage points with respect to the geographic area, certain pixels of the ground confidence map indicating a statistical probability that a same geographic area in at least two of the overlapping source images represent the ground; indentifying contiguous pixels in the ground confidence map indicating that the same geographic area in at least two of the overlapping source images represent the ground; and determining preferred routes for steering mosaic cut lines utilizing the identified contiguous pixels in the ground confidence map.

Abstract: A method for automatically steering mosaic cut lines along preferred routes to form an output mosaic image includes the step of creating an assignment map corresponding to the output mosaic image where each pixel has an initial designation of unassigned. Then, each pixel of the assignment map that intersects the preferred routes is marked as being a Preferred Cut Line pixel to divide the Assignment Map into one or more regions. For each region, a search is conducted to locate one or more source images that completely cover that region. If multiple source images completely covering the region are located, the method uses a Selection Heuristic to determine quality of coverage, and then designates each pixel in that region as being assigned to the source image determined to be best by the Selection Heuristic.