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

Internet

http://www.mdpi.com/1424-8220/18/2/334

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