Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection

Synthetic aperture radar (SAR) ship detection has been playing an increasingly essential role in marine monitoring in recent years. The lack of detailed information about ships in wide swath SAR imagery poses difficulty for traditional methods in exploring effective features for ship discrimination....

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 9; H. 8; S. 860
Hauptverfasser:	Kang, Miao, Ji, Kefeng, Leng, Xiangguang, Lin, Zhao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.08.2017
Schlagworte:	Artificial neural networks context information convolutional neural network (CNN) False alarms Feature extraction Feature maps Methods Monolayers Multilayers Neural networks Object recognition Pattern recognition Proposals Radar detection Radar imaging Remote sensing Rescaling Scaling Semantics Sentinel-1 ship detection Ships Synthetic aperture radar synthetic aperture radar (SAR) Target detection United States > US Switzerland
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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