Variable factorization model based on numerical optimization for hyperspectral anomaly detection

DOI10.1007/S10044-012-0275-9zbMath1328.68187OpenAlexW2058693228MaRDI QIDQ903094

Edisanter Lo

Publication date: 5 January 2016

Published in: PAA. Pattern Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10044-012-0275-9

zbMATH Keywords

remote sensinghyperspectral imaginganomaly detection

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Related Items (1)

Hyperspectral anomaly detection based on constrained eigenvalue-eigenvector model

Cites Work

• Variable subspace model for hyperspectral anomaly detection
• Anomaly Detection and Reconstruction From Random Projections
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