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Proceedings Paper

ISAR target recognition system design based on artificial intelligence
Author(s): Bingning Li; Wei Pei; Junqiang Li; Xian Zhang; Yang Liu
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Paper Abstract

To solve the problem of real-time recognition of large quantities of ISAR data with multi-platform and multi equipment, especially the issue of adaptive feature extraction of ISAR data, an ISAR target recognition system based on artificial intelligence is proposed. The system consists of three arrangements: data layer, recognition analysis layer, and presentation layer. The data layer extracts ISAR data according to different application scenarios; the recognition and analysis layer introduces deep learning algorithm for adaptively feature extraction, model training and optimizing, comprehensive identification and evaluation results analyzing. The presentation layer establishes stable and efficient information service based on the Web service framework and realizes a full cross-platform display of recognition results and feature information. By practice, the system improves the identification speed significantly and achieves real-time recognition of ISAR data, information push, and display across multi-platform, to effectively assist users in decision making and evaluation judgment.

Paper Details

Date Published: 14 February 2020
PDF: 7 pages
Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114300Q (14 February 2020); doi: 10.1117/12.2538176
Show Author Affiliations
Bingning Li, Xi'an Satellite Control Ctr. (China)
Wei Pei, Xi'an Satellite Control Ctr. (China)
Junqiang Li, Xi'an Satellite Control Ctr. (China)
Xian Zhang, Xi'an Satellite Control Ctr. (China)
Yang Liu, Xi'an Satellite Control Ctr. (China)


Published in SPIE Proceedings Vol. 11430:
MIPPR 2019: Pattern Recognition and Computer Vision
Nong Sang; Jayaram K. Udupa; Yuehuan Wang; Zhenbing Liu, Editor(s)

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