Determining the Intrinsic Dimension of a Hyperspectral Image Using Random Matrix Theory

DOI10.1109/TIP.2012.2227765zbMath1373.94061DBLPjournals/tip/Cawse-NicholsonDRS13OpenAlexW2079390300WikidataQ38456030 ScholiaQ38456030MaRDI QIDQ5373304

Amandine Robin, Steven B. Damelin, Kerry Cawse-Nicholson, Michael Sears

Publication date: 27 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tip.2012.2227765

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Random matrices (probabilistic aspects) (60B20) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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