Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection

Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection

As an active microwave imaging sensor for the high-resolution earth observation, synthetic aperture radar (SAR) has been extensively applied in military, agriculture, geology, ecology, oceanography, etc., due to its prominent advantages of all-weather and all-time working capacity. Especially, in th...

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Bibliographic Details
Main Authors: Tianwen Zhang, Xiaoling Zhang, Jun Shi, Shunjun Wei
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (sar)
ship detection
high-speed
convolution neural network (cnn)
depthwise separable convolution neural network (ds-cnn)
depthwise convolution (d-conv2d)
pointwise convolution (p-conv2d)
Online Access:https://www.mdpi.com/2072-4292/11/21/2483

Internet

https://www.mdpi.com/2072-4292/11/21/2483

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