IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing· 2012Q1· Review

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

José M. Bioucas‐Dias, Antonio Plaza, Nicolas Dobigeon, M. Parente et al.

2,755citations
Q1SCImago
2012year

Short summary

This paper provides a comprehensive overview of hyperspectral unmixing techniques, categorizing them into geometrical, statistical, sparsity-based, and spatial-contextual approaches.

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Field: Media Technology

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