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Computer Optics, 2016, Volume 40, Issue 3, Pages 380–387
DOI: https://doi.org/10.18287/2412-6179-2016-40-3-380-387 (Mi co154) 		 
This article is cited in 10 scientific papers (total in 10 papers)

HUPERSPECTRAL DATA ANALYSIS

Estimation of parameters of a linear spectral mixture for hyperspectral images with atmospheric distortions

A. Y. Denisovaa, Y. N. Juravela, V. V. Myasnikovba

a Samara National Research University, Samara, Russia
b Image Processing Systems Institute îf RAS,– Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia
Full-text PDF (316 kB) Citations (10)
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DOI: https://doi.org/10.18287/2412-6179-2016-40-3-380-387
Abstract: In this paper, we propose a novel method for estimating parameters of a linear spectral mixture for hyperspectral images. This method allows omitting a preliminary atmospheric correction of the input image. In order to derive a solution of the mixture problem different models of radiation transmission in atmosphere are considered. An evaluation of the effects of noise, the number of input pixels, and the number of signatures on the accuracy of the linear mixture coefficient restoration and the input pixel representation error is made.
Keywords: hyperspectral images, linear spectral mixture analysis, atmospheric correction.
Funding agency Grant number
Russian Science Foundation 14-31-00014
Work done at the expense of the grant of the Russian Scientific Fund (project ¹ 14-31-00014) «Creating a laboratory breakthrough technology of remote sensing of the Earth."
Received: 28.04.2016
Accepted: 13.05.2016
Document Type: Article
Language: Russian
Citation: A. Y. Denisova, Y. N. Juravel, V. V. Myasnikov, “Estimation of parameters of a linear spectral mixture for hyperspectral images with atmospheric distortions”, Computer Optics, 40:3 (2016), 380–387
Citation in format AMSBIB
\Bibitem{DenZhuMya16}
\by A.~Y.~Denisova, Y.~N.~Juravel, V.~V.~Myasnikov
\paper Estimation of parameters of a linear spectral mixture for hyperspectral images with atmospheric distortions
\jour Computer Optics
\yr 2016
\vol 40
\issue 3
\pages 380--387
\mathnet{http://mi.mathnet.ru/co154}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-3-380-387}
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    • This publication is cited in the following 10 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Computer Optics
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