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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Vydané v:	IEEE sensors journal Ročník 22; číslo 11; s. 10890 - 10900
Hlavní autori:	Zhao, Liquan, Zhang, Yupeng, Cui, Ying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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