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Computer Optics, 2015, Volume 39, Issue 1, Pages 77–82 (Mi co59)  

HUPERSPECTRAL DATA ANALYSIS

Hyperspectral and multispectral Resurs-P data fusion for increase of their informational content

G. P. Anshakovab, A. V. Raschupkinab, Yu. N. Zhuravelab

a Samara Scientific Center of the Russian Academy of Sciences
b JSC "RSC Progress"

Abstract: The Resurs-P satellite enables one simultaneously to observe the underlying surface using both multi- and hyperspectral equipment. The multispectral images, thus obtained, have high spatial resolution but low spectral resolution. Hyperspectral images, on the contrary, have high spectral resolution but low spatial resolution. This article proposes a method of the hyper- and multispectral data fusion aimed at improving their information value.

Keywords: remote sensing, hyperspectral imaging, multispectral imaging, spatial resolution, spectral resolution.

Funding Agency Grant Number
Russian Foundation for Basic Research 13-01-12014
The work was supported by grant RFBR "OFI M 13-01-12014.


DOI: https://doi.org/10.18287/0134-2452-2015-39-1-77-82

Full text: PDF file (1275 kB)
Full text: http://www.computeroptics.smr.ru/.../390110.html
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Received: 27.01.2015

Citation: G. P. Anshakov, A. V. Raschupkin, Yu. N. Zhuravel, “Hyperspectral and multispectral Resurs-P data fusion for increase of their informational content”, Computer Optics, 39:1 (2015), 77–82

Citation in format AMSBIB
\Bibitem{AnsRasZhu15}
\by G.~P.~Anshakov, A.~V.~Raschupkin, Yu.~N.~Zhuravel
\paper Hyperspectral and multispectral Resurs-P data fusion for increase of their informational content
\jour Computer Optics
\yr 2015
\vol 39
\issue 1
\pages 77--82
\mathnet{http://mi.mathnet.ru/co59}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-1-77-82}


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