An overview on linear unmixing of hyperspectral data

DOI10.1155/2020/3735403zbMath1459.94050OpenAlexW3080476437MaRDI QIDQ2007084

Jiaojiao Wei, Xiao-Fei Wang

Publication date: 12 October 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/3735403

Mathematics Subject Classification ID

Inference from stochastic processes and spectral analysis (62M15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

A new convex model for linear hyperspectral unmixing

Cites Work

• Backtracking-based simultaneous orthogonal matching pursuit for sparse unmixing of hyperspectral data
• Regularized nonnegative matrix factorization: geometrical interpretation and application to spectral unmixing
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery
• Toward a Sparse Bayesian Markov Random Field Approach to Hyperspectral Unmixing and Classification
• Learning the parts of objects by non-negative matrix factorization

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