Remote Sensing Image Ship Detection under Complex Sea Conditions Based on Deep Semantic Segmentation

Remote Sensing Image Ship Detection under Complex Sea Conditions Based on Deep Semantic Segmentation

Under complex sea conditions, ship detection from remote sensing images is easily affected by sea clutter, thin clouds, and islands, resulting in unreliable detection results. In this paper, an end-to-end convolution neural network method is introduced that combines a deep convolution neural network...

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Bibliographic Details
Main Authors: Yantong Chen, Yuyang Li, Junsheng Wang, Weinan Chen, Xianzhong Zhang
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
remote sensing image
semantic segmentation
convolution neural network
atrous convolution
fully connected conditional random field
Online Access:https://www.mdpi.com/2072-4292/12/4/625

Internet

https://www.mdpi.com/2072-4292/12/4/625

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