High-speed and High-accurate SAR Ship Detection Based on a Depthwise Separable Convolution Neural Network

High-speed and High-accurate SAR Ship Detection Based on a Depthwise Separable Convolution Neural Network

With the development of artificial intelligence, Synthetic-Aperture Radar (SAR) ship detection using deep learning technology can effectively avoid traditionally complex feature design and thereby greatly improve detection accuracy. However, most existing detection models often improve detection acc...

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Bibliographic Details
Main Authors: ZHANG Xiaoling, ZHANG Tianwen, SHI Jun, WEI Shunjun
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2019-12-01
Series:Leida xuebao
Subjects:
convolution neural network (cnn)
depthwise separable convolution neural network (ds-cnn)
sar
ship detection
attention mechanism
Online Access:http://radars.ie.ac.cn/article/doi/10.12000/JR19111?viewType=HTML

Internet

http://radars.ie.ac.cn/article/doi/10.12000/JR19111?viewType=HTML

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