A review of hyperspectral image denoising based on deep learning
Hyperspectral images are widely used in agriculture,earth science,geological disasters and other fields because hyperspectral images have the advantage that image integrates with spectrum.However,in the imaging process of hyperspec-tral image,due to various factors,hyperspectral images will inevitably be polluted by multiple noises.The existence of noises often limits the application value of hyperspectral images.Therefore,hyperspectral image denoising is an important way of image preprocessing.As one of the rapidly developing technologies in recent years,deep learning has been successfully ap-plied in the task of hyperspectral image denoising.The number of research results on deep learning-based hyperspectral im-age denoising is increasing year by year.In order to facilitate a more systematic and comprehensive exploration of this field,this paper outlines the research progress of deep learning-based hyperspectral image denoising,classifies and summarizes the existing main research findings.Finally,the future research trends in this field are prospected.
国家科技期刊平台
NSTL
万方数据
