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Proceedings Paper

Adaptive procedure of RS image classification with use of extended feature space
Author(s): Nikolay G. Markov; Alexandr A. Napryushkin; Alexandr V. Zamyatin; Evgenia V. Vertinskaya
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Paper Abstract

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 Russian satellite RESURS-O1 are shown.

Paper Details

Date Published: 13 March 2003
PDF: 12 pages
Proc. SPIE 4885, Image and Signal Processing for Remote Sensing VIII, (13 March 2003); doi: 10.1117/12.468219
Show Author Affiliations
Nikolay G. Markov, Tomsk Polytechnic Univ. (Russia)
Alexandr A. Napryushkin, Tomsk Polytechnic Univ. (Russia)
Alexandr V. Zamyatin, Tomsk Polytechnic Univ. (Russia)
Evgenia V. Vertinskaya, Tomsk Polytechnic Univ. (Russia)


Published in SPIE Proceedings Vol. 4885:
Image and Signal Processing for Remote Sensing VIII
Sebastiano B. Serpico, Editor(s)

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