On Noise Properties in Hyperspectral Images

Sergey K. Abramov (1) , Mykhail L. Uss (1) , Victoriya V. Abramova (1) , Vladimir V. Lukin (1) , Benoit Vozel (2) , Kacem Chehdi (2)

1 Kharkov National University
2 IETR - Institut d'Électronique et des Technologies du numéRique

We focus on considering noise properties in hyperspectral images acquired by different sensors. An initial assumption is that signal-dependent and signal-independent components are present. Using modern methods of blind estimation of noise parameters from images at hand, contributions of signal-dependent and signal-independent noise components are evaluated and compared for real-life images. It is demonstrated that for some sub-bands, contribution of signal-independent components is prevailing whilst for other sub-band images, the situation is the opposite

Keywords: Hyperspectral imagery; noise statistics; signal-dependent noise

Domains: Engineering Sciences [physics]; Electronics; Computer Science [cs]; Networking and Internet Architecture [cs.NI]

Sergey K. Abramov, Mykhail L. Uss, Victoriya V. Abramova, Vladimir V. Lukin, Benoit Vozel, et al.. On Noise Properties in Hyperspectral Images. 2015 IEEE International Geoscience and Remote Sensing Symposium (igarss), Milan, 2015, Milan, Italy. pp.3501--3504. ⟨hal-01300977⟩