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. 02, 2022

Filed:

Aug. 05, 2019
Applicant:

Wuyi University, Guangdong, CN;

Inventors:

Yikui Zhai, Guangdong, CN;

Wenbo Deng, Guangdong, CN;

Qirui Ke, Guangdong, CN;

He Cao, Guangdong, CN;

Junying Gan, Guangdong, CN;

Ying Xu, Guangdong, CN;

Assignee:

WUYI University, Guangdong, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 13/90 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G01S 13/9021 (2019.05); G01S 13/9004 (2019.05); G06K 9/6256 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01);
Abstract

Disclosed are a method and an apparatus for end-to-end SAR image recognition, and a storage medium. According to the disclosure, a generative adversarial network is used to enhance data and improve data richness of a SAR image, which is beneficial to subsequent network training; a semantic feature enhancement technology is also introduced to enhance semantic information of a SAR deep feature by a coding-decoding structure, which improves performances of SAR target recognition; and meanwhile, an end-to-end SAR image target recognition model with high integrity for big scenes like the Bay Area is constructed, which is helpful to improve a synthetic aperture radar target recognition model for big scenes like the Bay Area from local optimum to global optimum, increases the stability and generalization ability of the model, reduces the network complexity, and improves the target recognition accuracy.


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