Some automated and semi-automated tools for linear feature extraction in two and three dimensions

US10318808B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10318808-B2
Application numberUS-201715672267-A
CountryUS
Kind codeB2
Filing dateAug 8, 2017
Priority dateJun 3, 2014
Publication dateJun 11, 2019
Grant dateJun 11, 2019

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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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.

First claim

Opening claim text (preview).

What is claimed is: 1. A system for three-dimensional vector extraction from imagery of 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. 2. A method for three-dimensional vector extraction from image data of 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.

Assignees

Inventors

Classifications

  • User interactive design; Environments; Toolboxes · CPC title

  • G06V10/44Primary

    Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components · CPC title

  • Satellite images · CPC title

  • Geographic models · CPC title

  • Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor · CPC title

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What does patent US10318808B2 cover?
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.
Who is the assignee on this patent?
Digitalglobe Inc
What technology area does this patent fall under?
Primary CPC classification G06V10/44. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jun 11 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).