RUS  ENG JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Optics:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Optics, 2016, Volume 40, Issue 3, Pages 416–421 (Mi co159)  

SHORT MESSAGE

A parametric model for the autocorrelation function of space hyperspectral data

V. V. Sergeevab, R. R. Yuzkiva

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

Abstract: A new parametric model for the autocorrelation function of space hyperspectral data has been proposed. A heuristic algorithm for estimating the model parameters has been developed. The proposed model has been demonstrated to provide a good approximation of the observed autocorrelation functions.

Keywords: autocorrelation function, space hyperspectral image, parametric model.

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."


DOI: https://doi.org/10.18287/0134-2452-2016-40-3-416-421

Full text: PDF file (441 kB)
Full text: http://www.computeroptics.smr.ru/.../400315.html
References: PDF file   HTML file

Received: 20.05.2016
Accepted:20.05.2016

Citation: V. V. Sergeev, R. R. Yuzkiv, “A parametric model for the autocorrelation function of space hyperspectral data”, Computer Optics, 40:3 (2016), 416–421

Citation in format AMSBIB
\Bibitem{SerYuz16}
\by V.~V.~Sergeev, R.~R.~Yuzkiv
\paper A parametric model for the autocorrelation function of space hyperspectral data
\jour Computer Optics
\yr 2016
\vol 40
\issue 3
\pages 416--421
\mathnet{http://mi.mathnet.ru/co159}
\crossref{https://doi.org/10.18287/0134-2452-2016-40-3-416-421}


Linking options:
  • http://mi.mathnet.ru/eng/co159
  • http://mi.mathnet.ru/eng/co/v40/i3/p416

    SHARE: VKontakte.ru FaceBook Twitter Mail.ru Livejournal Memori.ru


    Citing articles on Google Scholar: Russian citations, English citations
    Related articles on Google Scholar: Russian articles, English articles
  • Computer Optics
    Number of views:
    This page:118
    Full text:52
    References:17

     
    Contact us:
     Terms of Use  Registration  Logotypes © Steklov Mathematical Institute RAS, 2020