Sparsity-based Cholesky Factorization and Its Application to Hyperspectral Anomaly Detection

Ahmad W. Bitar; Jean-Philippe Ovarlez; Loong-Fah Cheong

doi:10.1109/CAMSAP.2017.8313124

Conference papers

Sparsity-based Cholesky Factorization and Its Application to Hyperspectral Anomaly Detection

Ahmad W. Bitar ¹ Jean-Philippe Ovarlez ^{2, 1} Loong-Fah Cheong ³

1 SONDRA - Sondra, CentraleSupélec, Université Paris-Saclay (COmUE)

2 ONERA - The French Aerospace Lab [Palaiseau]

3 NUS - National University of Singapore

Abstract : ****Some technical errors found in our published IEEE version are corrected here. So please read this paper on HAL instead of the IEEE version.***** We are humans and we all make mistakes. Sorry for any inconvenience.

Keywords : sparsity Cholesky factor covariance matrix Hyperspectral anomaly detection

Document type :

Conference papers

Domain :

Statistics [stat] / Applications [stat.AP]

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https://hal-centralesupelec.archives-ouvertes.fr/hal-01656619
Contributor : Ahmad W. Bitar <>
Submitted on : Tuesday, December 5, 2017 - 6:43:12 PM
Last modification on : Wednesday, December 30, 2020 - 11:02:06 AM

Sparsity-based Cholesky Factorization and Its Application to Hyperspectral Anomaly Detection

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