Slim and efficient neural network design for resource-constrained sar target recognition

Remote Sensing

Volumn 10, Issue 10, 2018, Pages

  Chen, Hongyi ^a   Zhang, Fan ^a   Tang, Bo ^b   Yin, Qiang ^a   Sun, Xian ^c  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

^c INSTITUTE OF ELECTRONICS   (China)

Author keywords

Automatic target recognition (ATR); Deep learning; Fast algorithm; Model compression; Synthetic aperture radar (SAR)

Indexed keywords

AUTOMATIC TARGET RECOGNITION; CONVOLUTION; DEEP LEARNING; DEEP NEURAL NETWORKS; DIGITAL STORAGE; NEURAL NETWORKS; SYNTHETIC APERTURE RADAR;

ADAPTIVE ARCHITECTURE; CLASSIFICATION ACCURACY; CONVOLUTIONAL NEURAL NETWORK; DEEP CONVOLUTIONAL NEURAL NETWORKS; FAST ALGORITHMS; MODEL COMPRESSION; NETWORK COMPRESSION; NEURAL NETWORK DESIGNS;

RADAR TARGET RECOGNITION;

EID: 85055445652     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10101618     Document Type: Article

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