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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書誌詳細

主要な著者:	Jifa Chen, Gang Chen, Lizhe Wang, Bo Fang, Ping Zhou, Mingjie Zhu
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2020-12-01
シリーズ:	Sensors
主題:	coastal zone land cover classification semantic segmentation encoder-decoder context encoding attention mechanism
オンライン･アクセス:	https://www.mdpi.com/1424-8220/20/24/7032
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