SAR ship detection using sea-land segmentation-based convolutional neural network

RSIP 2017 - International Workshop on Remote Sensing with Intelligent Processing, Proceedings

Volumn , Issue , 2017, Pages

  Liu, Yang ^a   Zhang, Miao Hui ^a   Xu, Peng ^a   Guo, Zheng Wei ^a  

^a HENAN UNIVERSITY   (China)

Author keywords

deep learning; SAR; ship detector; SLS CNN; target detect

Indexed keywords

CONVOLUTION; DEEP LEARNING; EDGE DETECTION; EDUCATION; FEATURE EXTRACTION; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS; REMOTE SENSING; SHIPS; SYNTHETIC APERTURE RADAR; TRACKING RADAR;

CONVOLUTIONAL NEURAL NETWORK; CORNER FEATURE; MARITIME ACTIVITIES; MINIMUM BOUNDING RECTANGLE; SEA-LAND SEGMENTATIONS; SLS-CNN; SYNTHETIC APERTURE RADAR IMAGERY; TARGET DETECT;

RADAR IMAGING;

EID: 85025647154     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RSIP.2017.7958806     Document Type: Conference Paper

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