Estimation of parameters of a linear spectral mixture for hyperspectral images with atmospheric distortions
A.Y. Denisova, Y.N. Juravel, V.V. Myasnikov

 

Samara National Research University, Samara, Russia
Image Processing Systems Institute оf RAS,– Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia

Full text of article: Russian language.

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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.

Citation:
Denisova AY, Juravel YN, Myasnikov VV. Estimation of parameters of a linear spectral mixture for hyperspectral images with atmospheric distortions. Computer Optics 2016; 40(3): 380-387. DOI: 10.18287/2412-6179-2016-40-3-380-387.

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