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Image Restoration for Remote Sensing: Overview and Toolbox
Benhood Rasti, Yi Chang, Emanuele Dalsasso +2
Remote sensing provides valuable information about objects or areas from a distance in either active (e.g., RADAR and LiDAR) or passive (e.g., multispectral and hyperspectral) mode…
Hyperspectral Image Classification with Attention Aided CNNs
Renlong Hang, Zhu Li, Qingshan Liu +2
Convolutional neural networks (CNNs) have been widely used for hyperspectral image classification. As a common process, small cubes are firstly cropped from the hyperspectral image…
Deep Learning for Hyperspectral Image Classification: An Overview
Shutao Li, Weiwei Song, Leyuan Fang +3
Hyperspectral image (HSI) classification has become a hot topic in the field of remote sensing. In general, the complex characteristics of hyperspectral data make the accurate clas…