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Computer Optics, 2015, Volume 39, Issue 4, Pages 557–563
DOI: https://doi.org/10.18287/0134-2452-2015-39-4-557-563
(Mi co17)
 

This article is cited in 7 scientific papers (total in 7 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Impulse response identification for remote sensing images using gis data

A. Yu. Denisovaab, V. V. Sergeyevab

a Image Processing Systems Institute, Russian Academy of Sciences
b Samara State Aerospace University
Full-text PDF (281 kB) Citations (7)
References:
Abstract: In this article the authors describe a new modification of the spectrum method that uses a known relation between the energy spectra of input and output signals to identify a linear observation model. The input undistorted image is assumed to be unknown. The modification proposed in this article uses known borders of image objects to construct an image with the energy spectrum similar to that of the original undistorted image.
Keywords: identification, linear observation model, impulse response, energy spectrum, frequency response, energy spectrum method, geoinformation data.
Funding agency Grant number
Russian Science Foundation 14-31-00014
The work was supported by the Russian Foundation for Humanities, grant № 14-31-00014 "Creating a breakthrough laboratory study of remote sensing".
Received: 30.07.2015
Revised: 24.08.2015
Document Type: Article
Language: Russian
Citation: A. Yu. Denisova, V. V. Sergeyev, “Impulse response identification for remote sensing images using gis data”, Computer Optics, 39:4 (2015), 557–563
Citation in format AMSBIB
\Bibitem{DenSer15}
\by A.~Yu.~Denisova, V.~V.~Sergeyev
\paper Impulse response identification for remote sensing images using gis data
\jour Computer Optics
\yr 2015
\vol 39
\issue 4
\pages 557--563
\mathnet{http://mi.mathnet.ru/co17}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-4-557-563}
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  • https://www.mathnet.ru/eng/co17
  • https://www.mathnet.ru/eng/co/v39/i4/p557
  • This publication is cited in the following 7 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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    Full-text PDF :77
    References:45
     
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