Hyperspectral Image Classification Via Spectral-Spatial Random Patches Network
نویسندگان
چکیده
منابع مشابه
Hyperspectral Image Classification Based on Nonlinear Spectral-Spatial Network
Recently, for the task of hyperspectral images classification, deep learning-based methods have revealed promising performance. However, the complex network structure and time-consuming training process have restricted their applications. In this letter, we construct a much simpler network, nonlinear spectral-spatial network (NSSNet), for hyperspectral images classification. NSSNet is developed...
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^Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland, Baltimore County, Baltimore, MD 21250 ^Computer Science Department, University of Extremadura Avda. de la Universidad s/n,10.071 Caceres, SPAIN ^Center for Space and Remote Sensing Research Graduate Institute of Space Science Department of Computer Science and...
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2021
ISSN: 1939-1404,2151-1535
DOI: 10.1109/jstars.2021.3075771