Fully Convolutional Network with Task Partitioning for Inshore Ship Detection in Optical Remote Sensing Images

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 10, 2017, Pages 1665-1669

  Lin, Haoning ^a   Shi, Zhenwei ^a   Zou, Zhengxia ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Fully convolutional network (FCN); inshore; optical remote sensing; ship detection

Indexed keywords

CONVOLUTION; IMAGE RECONSTRUCTION; NETWORK LAYERS; REMOTE SENSING; SHIPS;

ARBITRARY DIRECTION; CONVOLUTIONAL NETWORKS; INSHORE; LOCALIZATION ACCURACY; OPTICAL REMOTE SENSING; OPTICAL REMOTE-SENSING IMAGERY; SHIP DETECTION; SIMPLIFIED PROCEDURE;

FEATURE EXTRACTION;

EID: 85028919327     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2017.2727515     Document Type: Article

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