The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 27, 2019

Filed:

Jul. 03, 2018
Applicant:

Digitalglobe, Inc., Longmont, CO (US);

Inventors:

Adam Estrada, Bethesda, MD (US);

Andrew Jenkins, Waterford, VA (US);

Benjamin Brock, Upper Marlboro, MD (US);

Chris Mangold, Union Bridge, MD (US);

Assignee:

DigitalGlobe, Inc., Longmont, CO (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/73 (2017.01); G06T 7/33 (2017.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/74 (2017.01); G06K 9/0063 (2013.01); G06K 9/4628 (2013.01); G06K 9/6272 (2013.01); G06T 5/005 (2013.01); G06T 7/33 (2017.01); G06T 7/344 (2017.01); G06T 2207/10032 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30184 (2013.01); G06T 2207/30212 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A system for automated geospatial image analysis comprising a deep learning model that receives orthorectified geospatial images, pre-labeled to demarcate objects of interest. The module presents marked geospatial images and a second set of unmarked, optimized, training geospatial images to a convolutional neural network. This process may be repeated so that an image analysis software module can detect multiple object types or categories. The image analysis software module receives orthorectified geospatial images from one or more geospatial image caches. Using a multi-scale sliding window submodule, image analysis software scans geospatial images, detects objects present and geospatially locates them.


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