Classification of Hyperspectral Remote Sensing Image Using Hierarchical Local-Receptive-Field-Based Extreme Learning Machine.

IEEE Geoscience and Remote Sensing Letters(2016)

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摘要
This letter proposes a novel classification approach for a hyperspectral image (HSI) using a hierarchical local-receptive-field (LRF)-based extreme learning machine (ELM). As a fast and accurate pattern classification algorithm, ELM has been applied in numerous fields, including the HSI classification. The LRF concept originates from research in neuroscience. Considering the local correlations of ...
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关键词
Convolution,Feature extraction,Training,Hyperspectral imaging,Neurons
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