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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE journal of selected topics in applied earth observations and remote sensing Vol. 17; pp. 1286 - 1298
Main Authors:	Song, Yanjiao, Rui, Xiaoping, Li, Junjie
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!