An Attention Encoder-Decoder Network Based on Generative Adversarial Network for Remote Sensing Image Dehazing

Remote sensing image dehazing is a difficult problem for its complex characteristics. It can be regarded as the preprocessing of high-level tasks of remote sensing images. To remove haze from the hazy remote sensing image, an encoder-decoder based on generative adversarial network is proposed. It fi...

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Veröffentlicht in:	IEEE sensors journal Jg. 22; H. 11; S. 10890 - 10900
Hauptverfasser:	Zhao, Liquan, Zhang, Yupeng, Cui, Ying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Atmospheric modeling Coders Distillation encoder-decoder Encoders-Decoders Feature extraction generative adversarial network Generative adversarial networks Haze Learning systems Modules multi-scale attention module Remote sensing Remote sensing image dehazing Scattering Task complexity Training
ISSN:	1530-437X, 1558-1748
Online-Zugang:	Volltext
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