RMCNet: Random Multiscale Convolutional Network for Hyperspectral Image Classification
IEEE Geoscience and Remote Sensing Letters(2021)
摘要
To address the limitation of the high-dimensionality features and single spatial scale in the spectral–spatial classification of hyperspectral image (HSI), we propose a random multiscale convolutional network (RMCNet) that combines a multiscale dimensionality reduction module (MDRM) and the RMCNet for improving classification accuracy. The MDRM is based on multiscale superpixel segmentations, whic...
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关键词
Feature extraction,Convolution,Dimensionality reduction,Principal component analysis,Kernel,Training,Hyperspectral sensors
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