Coastal Land Cover Classification of High-Resolution Remote Sensing Images Using Attention-Driven Context Encoding Network

Coastal Land Cover Classification of High-Resolution Remote Sensing Images Using Attention-Driven Context Encoding Network

Low inter-class variance and complex spatial details exist in ground objects of the coastal zone, which leads to a challenging task for coastal land cover classification (CLCC) from high-resolution remote sensing images. Recently, fully convolutional neural networks have been widely used in CLCC. Ho...

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Bibliographic Details
Main Authors: Jifa Chen, Gang Chen, Lizhe Wang, Bo Fang, Ping Zhou, Mingjie Zhu
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
coastal zone
land cover classification
semantic segmentation
encoder-decoder
context encoding
attention mechanism
Online Access:https://www.mdpi.com/1424-8220/20/24/7032

Internet

https://www.mdpi.com/1424-8220/20/24/7032

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