Ship Detection in Gaofen-3 SAR Images Based on Sea Clutter Distribution Analysis and Deep Convolutional Neural Network

Ship Detection in Gaofen-3 SAR Images Based on Sea Clutter Distribution Analysis and Deep Convolutional Neural Network

Target detection is one of the important applications in the field of remote sensing. The Gaofen-3 (GF-3) Synthetic Aperture Radar (SAR) satellite launched by China is a powerful tool for maritime monitoring. This work aims at detecting ships in GF-3 SAR images using a new land masking strategy, the...

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Bibliographic Details
Main Authors:	Quanzhi An, Zongxu Pan, Hongjian You
Format:	Article
Language:	English
Published:	MDPI AG 2018-01-01
Series:	Sensors
Subjects:	ship detection Gaofen-3 fully convolutional network truncated statistic iterative censoring scheme SAR applications deep convolutional neural network
Online Access:	http://www.mdpi.com/1424-8220/18/2/334

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