D2Net:Deep Denoising Network in Frequency Domain for Hyperspectral Image

查看全文 作　　者：Erting [1]Pan;Yong [1]Ma;Xiaoguang [1]Mei;Jun [1]Huang;Fan [1]Fan;Jiayi [1]Ma

机构地区：[1]Electronic Information School,Wuhan University,Wuhan 430072,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》索引2023年第10卷第3期,共3页

基　　金：supported by the National Natural Science Foundation of China(61903279)。 摘　　要：Dear Editor,Since the existing hyperspectral image denoising methods suffer from excessive or incomplete denoising,leading to information distortion and loss,this letter proposes a deep denoising network in the frequency domain,termed D2Net.Our motivation stems from the observation that images from different hyperspectral image(HSI)bands share the same structural and contextual features while the reflectance variations in the spectra are mainly fallen on the details and textures. 关键词：DEEP NET IMAGE

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D2Net:Deep Denoising Network in Frequency Domain for Hyperspectral Image

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