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:
May. 25, 2021

Filed:

Aug. 02, 2019
Applicant:

Wuyi University, Guangdong, CN;

Inventors:

Yikui Zhai, Guangdong, CN;

Wenbo Deng, Guangdong, CN;

Ying Xu, Guangdong, CN;

Junying Gan, Guangdong, CN;

Junying Zeng, Guangdong, CN;

Zilu Ying, Guangdong, CN;

Qirui Ke, Guangdong, CN;

Wenlue Zhou, Guangdong, CN;

Assignee:

WUYI University, Guangdong, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G01S 13/90 (2006.01); G01S 7/40 (2006.01); G06K 9/32 (2006.01); G06K 9/46 (2006.01); G06T 3/40 (2006.01);
U.S. Cl.
CPC ...
G06K 9/629 (2013.01); G01S 7/40 (2013.01); G01S 13/9027 (2019.05); G06K 9/0063 (2013.01); G06K 9/3233 (2013.01); G06K 9/46 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06T 3/40 (2013.01); G06T 2207/20081 (2013.01);
Abstract

Disclosed are a method and an apparatus for multi-scale SAR image recognition based on attention mechanism. According to the method, a whole image recognition network is adjusted by training a SAR training image by an attention prediction subnet, a region-of-interest positioning subnet and an image classification subnet in combination with a network loss, which greatly improves a network performance; and in addition, an attention prediction map is generated by attention mechanism to position a most prominent feature part in the SAR image, which greatly eliminates a redundancy of image features in a machine vision, effectively determines a region-of-interest, reduces interference of image noises, greatly reduces an image processing time, improves a target recognition accuracy, is beneficial to next target positioning, and has a significant improvement on a network recognition speed integrally.


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