Dimensionality Reduction of Hyperspectral Images: A Data-Driven Approach for Band Selection

Arati Paul; Putul Sahoo; Nabendu Chaki

doi:10.1007/978-981-15-2930-6_2

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Dimensionality Reduction of Hyperspectral Images: A Data-Driven Approach for Band Selection

Arati Paul Putul Sahoo Nabendu Chaki

Year: 2020 Advances in intelligent systems and computing Pages: 11-27 Publisher: Springer Nature

DOI: 10.1007/978-981-15-2930-6_2

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Keywords:

Hyperspectral imaging Dimensionality reduction Computer science Artificial intelligence Benchmark (surveying) Pattern recognition (psychology) Curse of dimensionality Feature selection Selection (genetic algorithm) Reduction (mathematics) Feature (linguistics) Prioritization Data mining Mathematics Geography Engineering

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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

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Dimensionality Reduction of Hyperspectral Images: A Data-Driven Approach for Band Selection

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