Hyperspectral image noise reduction method based on low-rank tensor two-factor joint optimization

The invention discloses a hyperspectral image denoising method based on low-rank tensor two-factor joint optimization, which comprises the following steps of: establishing a denoising optimization model based on the combination of image prior and a factorization method according to a generalized den...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	CONG YULIANG, CHENG XI, WANG LIWEI, LIU MAIOU, ZHANG ZHONGYU
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
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