Segmented minimum noise fraction transformation for efficient feature extraction of hyperspectral images

Lixin Guan; Xie Wei-xin; Jihong Pei

doi:10.1016/j.patcog.2015.04.013

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Segmented minimum noise fraction transformation for efficient feature extraction of hyperspectral images

Lixin Guan Xie Wei-xin Jihong Pei

Year: 2015 Journal: Pattern Recognition Vol: 48 (10)Pages: 3216-3226 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2015.04.013

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Keywords:

Pattern recognition (psychology) Bhattacharyya distance Hyperspectral imaging Artificial intelligence Feature extraction Mathematics Transformation (genetics) Noise (video) Feature (linguistics) Support vector machine Principal component analysis Benchmark (surveying) Computer science Image (mathematics) Chemistry

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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

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Segmented minimum noise fraction transformation for efficient feature extraction of hyperspectral images

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