Modeling and estimation of signal-dependent noise in hyperspectral imagery

• Published in: Applied optics. Optical technology and biomedical optics Vol. 50; no. 21; p. 3829
• Main Authors: Meola, Joseph, Eismann, Michael T, Moses, Randolph L, Ash, Joshua N
• Format: Journal Article
• Language: English
• Published: United States 20.07.2011

The majority of hyperspectral data exploitation algorithms are developed using statistical models for the data that include sensor noise. Hyperspectral data collected using charge-coupled devices or other photon detectors have sensor noise that is directly dependent on the amplitude of the signal co...