AEDNet: An Attention-Based Encoder-Decoder Network for Urban Water Extraction From High Spatial Resolution Remote Sensing Images

Accurate water extraction from urban remote sensing images holds great significance in assisting the formulation of river and lake management policies and ensuring the sustainable development of urban water resources. However, urban high-resolution remote sensing images encompass complex spatial and...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing Jg. 17; S. 1286 - 1298
Hauptverfasser:	Song, Yanjiao, Rui, Xiaoping, Li, Junjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Atrous convolution (AC) attention mechanism Coders Convolution Data mining Feature extraction High resolution Image acquisition Image resolution Indexes joint loss function (JLF) Lake management Lakes Remote sensing Semantics Spatial discrimination Spatial resolution Sustainable development Urban areas urban water extraction Water bodies Water resources
ISSN:	1939-1404, 2151-1535
Online-Zugang:	Volltext
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