A Water Segmentation Algorithm for SAR Image Based on Dense Depthwise Separable Convolution

A Water Segmentation Algorithm for SAR Image Based on Dense Depthwise Separable Convolution

Water segmentation of real SAR images is of great significance in military and civilian applications such as ship target detection and disaster monitoring. To solve the issues of poor robustness and inaccurate segmentation of traditional water segmentation algorithms, this paper first establishes a...

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Bibliographic Details
Main Authors: ZHANG Jinsong, XING Mengdao, SUN Guangcai
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2019-06-01
Series:Leida xuebao
Subjects:
Synthetic Aperture Radar (SAR)
Water segmentation
Deep learning
Dense separable convolution
Feature extraction
Online Access:http://radars.ie.ac.cn/article/doi/10.12000/JR19008?viewType=HTML

Internet

http://radars.ie.ac.cn/article/doi/10.12000/JR19008?viewType=HTML

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