Adaptive procedure of RS images classification with use of extended feature space

Nikolay G. Markov, Alexandr A. Napryushkin, Alexandr V. Zamyatin, Evgenia V. Vertinskaya

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


The paper proposes an idea of the adaptive classification procedure (ACP) making the process of remotely sensed (RS) data classification more flexible and efficient in comparison with existing recognition methods. The ACP employs an improved scheme of forming feature space and adaptive decision rule allowing an optimal imagery classification method to be chosen during thematic processing. In the paper the basic principles of the ACP design and the results of its classification methods efficiency research are considered. Also the results of the ACP application for solving problems of landscape-ecological mapping of Lake Chani area (Omsk region, Russia) and Pervomayskoe oil field (Tomsk region, Russia) using multispectral images from Russia satellite RESURS-O1 are shown.

Original languageEnglish
Pages (from-to)489-500
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 1 Dec 2002
EventImage and Signal Processing for Remote Sensing VII - Agia Pelagia, Greece
Duration: 24 Sep 200227 Sep 2002


  • Digital image analysis
  • Neural networks
  • Nonparametric statistics
  • Pattern recognition
  • Texture analysis

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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