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. 15, 2017

Filed:

Dec. 03, 2015
Applicant:

University of Electronic Science and Technology of China, Chengdu, CN;

Inventors:

Yunping Chen, Chengdu, CN;

Ling Tong, Chengdu, CN;

Weihong Han, Chengdu, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06T 7/00 (2017.01); G06K 9/32 (2006.01); G06T 7/13 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00637 (2013.01); G06K 9/3241 (2013.01); G06K 9/4604 (2013.01); G06T 7/13 (2017.01); G06T 2207/10032 (2013.01); G06T 2207/30184 (2013.01);
Abstract

A method and apparatus for identifying an object are disclosed. The method includes: performing linear feature detection on an image to be identified by using a linear feature detecting method to obtain detected linear features, wherein the linear feature detection method transforms detection of linear features in an image space to detection of extremal points in another space and assigns larger weights to continuous image points than to discrete image points during the transformation by using a continuous cluster factor; and identifying an object to be identified from the detected linear features by considering characteristics of the object to be identified. The method and apparatus for identifying an object of the invention, when used to detect and identify weak linear objects in high resolution remote sensing images, can effectively suppress the system noise and ambient noise, thereby successfully identifying the interested object and avoiding false alarms. Moreover, short line segments can also be identified.


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