Residual Spatial Attention Kernel Generation Network for Hyperspectral Image Classification With Small Sample Size
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DOI: 10.1109/tgrs.2022.3175494
Abstract: With the rapid development of deep learning, the convolutional neural networks (CNNs) have been widely used in hyperspectral image classification (HSIC) and achieved excellent performance. However, CNNs reuse the same kernel weights over different locations,… read more here.
Keywords: residual spatial; classification; spatial attention; kernel generation ... See more keywords