Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing(2019)
摘要
As one of the fundamental research topics in remote sensing image analysis, hyperspectral image (HSI) classification has been extensively studied so far. However, how to discriminatively learn a low-dimensional feature space, in which the mapped features have small within-class scatter and big between-class separation, is still a challenging problem. To address this issue, this paper proposes an e...
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关键词
Feature extraction,Training,Hyperspectral imaging,Neurons,Kernel,Deep learning
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