HSI-DeNet: Hyperspectral Image Restoration via Convolutional Neural Network.
IEEE Transactions on Geoscience and Remote Sensing(2019)
摘要
The spectral and the spatial information in hyperspectral images (HSIs) are the two sides of the same coin. How to jointly model them is the key issue for HSIs' noise removal, including random noise, structural stripe noise, and dead pixels/lines. In this paper, we introduce the deep convolutional neural network (CNN) to achieve this goal. The learned filters can well extract the spatial informati...
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关键词
Image restoration,Correlation,Data models,Noise reduction,Tensile stress,Convolution,Task analysis
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