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US 2020/0005017 A1Published application
Some automated and semi-automated tools for linear feature extraction in two and three dimensions
AssigneeDigitalGlobe, Inc.
InventorsJacek Grodecki, Seth Malitz, Josh Nolting
Life of this patent
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Abstract
A system for vector extraction comprising a vector extraction engine stored and operating on a network-connected computing device that loads raster images from a database stored and operating on a network-connected computing device, identifies features in the raster images, and computes a vector based on the features, and methods for feature and vector extraction.
Claims2
A system for three-dimensional vector extraction from imagery of a surface, comprising:
- a vector extraction engine operating on a computing device or network of computing devices;
- wherein the vector extraction engine:
- builds a cost raster;
- builds at least one digital surface model raster based at least in part on the cost raster;
- combines the rasters to form a new three-dimensional cost raster;
- identifies image features in at least one of the rasters;
- computes instantaneous values for the identified features;
- calculates a vector based at least in part on the instantaneous values;
- and
- projects the vector onto the new three-dimensional raster.
7 more elements
A method for three-dimensional vector extraction from image data of a surface, comprising the steps of:
- building, using a vector extraction engine operating on a computing device or network of computing devices, a cost raster;
- building at least one digital surface model raster based at least in part on the cost raster;
- and
- combining the rasters to form a new three-dimensional cost raster;
- identifying, using a vector extraction engine stored and operating on a workstation computer, image features in at least one of the rasters;
- computing instantaneous values for the identified features;
- calculating a vector based at least in part on the instantaneous values;
- and
- projecting the vector onto the three-dimensional raster.
6 more elements
Dependencies are inferred from the claim text.