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:
Nov. 28, 2023

Filed:

May. 01, 2020
Applicant:

Caci, Inc.—federal, Arlington, VA (US);

Inventors:

Jacob A. Fleisig, Arlington, VA (US);

Evan M. Colvin, Arlington, VA (US);

Peter Storm Simonson, Arlington, VA (US);

Nicholas Grant Chidsey, Arlington, VA (US);

Assignee:

CACI, Inc.—Federal, Reston, VA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/10 (2022.01); G06N 20/00 (2019.01); G06N 3/04 (2023.01); G06T 5/00 (2006.01); G06F 17/16 (2006.01);
U.S. Cl.
CPC ...
G06V 20/176 (2022.01); G06F 17/16 (2013.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01); G06T 5/002 (2013.01); G06V 20/182 (2022.01); G06T 2207/20044 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A system may be configured to collect geospatial features (in vector form) such that a software application is operable to edit an object represented by at least one vector. Some embodiments may: generate, via a trained machine learning model, a pixel map based on an aerial or satellite image; convert the pixel map into vector form; and store the vectors. This conversion may include a raster phase and a vector phase. A system may be configured to obtain another image, generate another pixel map based on the other image, convert the other pixel map into vector form, and compare the vectors to identify changes between the images. Some implementations may cause identification, based on a similarity with converted vectors, of a more trustworthy set of vectors for subsequent data source conflation.


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