Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model

Jie Chen; Cédric Richard; Paul Honeiné

doi:10.1109/tsp.2012.2222390

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Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model

Jie Chen Cédric Richard Paul Honeiné

Year: 2012 Journal: IEEE Transactions on Signal Processing Vol: 61 (2)Pages: 480-492 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tsp.2012.2222390

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Abstract

International audience

Keywords:

Hyperspectral imaging Endmember Nonlinear system Kernel (algebra) Generality Computer science Mixing (physics) Algorithm Reproducing kernel Hilbert space Hilbert space Artificial intelligence Pattern recognition (psychology) Mathematics Mathematical optimization Mathematical analysis

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Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model

Abstract

Metrics

Citation History

Topics

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