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

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

Результат исследований: Материалы для журналарецензирование

3 Цитирования (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.

Язык оригиналаАнглийский
Страницы (с-по)489-500
Число страниц12
ЖурналProceedings of SPIE - The International Society for Optical Engineering
СостояниеОпубликовано - 1 дек 2002
СобытиеImage and Signal Processing for Remote Sensing VII - Agia Pelagia, Греция
Продолжительность: 24 сен 200227 сен 2002

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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