Spectral–spatial multi-feature-based deep learning for hyperspectral remote sensing image classification

Lizhe Wang; Jiabin Zhang; Peng Liu; Kim‐Kwang Raymond Choo; Fang Huang

doi:10.1007/s00500-016-2246-3

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Spectral–spatial multi-feature-based deep learning for hyperspectral remote sensing image classification

Lizhe Wang Jiabin Zhang Peng Liu Kim‐Kwang Raymond Choo Fang Huang

Year: 2016 Journal: Soft Computing Vol: 21 (1)Pages: 213-221 Publisher: Springer Science+Business Media

DOI: 10.1007/s00500-016-2246-3

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Keywords:

Hyperspectral imaging Artificial intelligence Computer science Pattern recognition (psychology) Redundancy (engineering) Support vector machine Deep learning Feature extraction Spatial analysis Feature (linguistics) Dimensionality reduction Feature learning Machine learning Remote sensing

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Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Remote Sensing in Agriculture

Physical Sciences → Environmental Science → Ecology

Spectral–spatial multi-feature-based deep learning for hyperspectral remote sensing image classification

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