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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
Abstract : 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
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Conference papers
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01300977
Contributor : Laurent Jonchère <>
Submitted on : Monday, April 11, 2016 - 3:46:51 PM
Last modification on : Monday, October 5, 2020 - 9:50:23 AM

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  • HAL Id : hal-01300977, version 1

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Citation

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⟩

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