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:
Oct. 12, 2021

Filed:

Jan. 21, 2020
Applicant:

Xactware Solutions, Inc., Lehi, UT (US);

Inventors:

Jeffrey Taylor, Sandy, UT (US);

Edmund Webecke, Alpine, UT (US);

Assignee:

Xactware Solutions, Inc., Lehi, UT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06K 9/62 (2006.01); G06K 9/00 (2006.01); H04N 13/128 (2018.01); G01C 11/06 (2006.01); G06K 9/32 (2006.01); G06T 7/593 (2017.01); G06T 7/187 (2017.01); G06T 7/136 (2017.01); H04N 13/00 (2018.01);
U.S. Cl.
CPC ...
G06K 9/6292 (2013.01); G01C 11/06 (2013.01); G06K 9/00637 (2013.01); G06K 9/3233 (2013.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/187 (2017.01); G06T 7/593 (2017.01); H04N 13/128 (2018.05); G06K 9/00201 (2013.01); G06T 2207/10021 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/30184 (2013.01); H04N 2013/0081 (2013.01); H04N 2013/0092 (2013.01);
Abstract

A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.


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