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Journal of Information and Organizational Sciences, Vol. 25 No. 1, 2001.

Izvorni znanstveni članak

CLASSIFICATION OF MULTISPECTRAL DATA

Eva Ocelikova ; Faculty of Electrical Engineering and Informatics, Technical University of Košice, Slovak Republic
Jan Krištof ; Faculty of Electrical Engineering and Informatics, Technical University of Košice, Slovak Republic

Puni tekst: engleski, pdf (3 MB) str. 35-41 preuzimanja: 182* citiraj
APA 6th Edition
Ocelikova, E. i Krištof, J. (2001). CLASSIFICATION OF MULTISPECTRAL DATA. Journal of Information and Organizational Sciences, 25 (1), 35-41. Preuzeto s https://hrcak.srce.hr/78460
MLA 8th Edition
Ocelikova, Eva i Jan Krištof. "CLASSIFICATION OF MULTISPECTRAL DATA." Journal of Information and Organizational Sciences, vol. 25, br. 1, 2001, str. 35-41. https://hrcak.srce.hr/78460. Citirano 24.04.2019.
Chicago 17th Edition
Ocelikova, Eva i Jan Krištof. "CLASSIFICATION OF MULTISPECTRAL DATA." Journal of Information and Organizational Sciences 25, br. 1 (2001): 35-41. https://hrcak.srce.hr/78460
Harvard
Ocelikova, E., i Krištof, J. (2001). 'CLASSIFICATION OF MULTISPECTRAL DATA', Journal of Information and Organizational Sciences, 25(1), str. 35-41. Preuzeto s: https://hrcak.srce.hr/78460 (Datum pristupa: 24.04.2019.)
Vancouver
Ocelikova E, Krištof J. CLASSIFICATION OF MULTISPECTRAL DATA. Journal of Information and Organizational Sciences [Internet]. 2001 [pristupljeno 24.04.2019.];25(1):35-41. Dostupno na: https://hrcak.srce.hr/78460
IEEE
E. Ocelikova i J. Krištof, "CLASSIFICATION OF MULTISPECTRAL DATA", Journal of Information and Organizational Sciences, vol.25, br. 1, str. 35-41, 2001. [Online]. Dostupno na: https://hrcak.srce.hr/78460. [Citirano: 24.04.2019.]

Sažetak
This paper deals with the classification of objects into a limited number of classes. Objects are characterised by n-features, e.g. n-dimensional vector are used to describe them. The paper focuses on the Bayes classifier based on the probability principle, with a fixed number of features during the classification process. Bayes classifier, that is which uses the criterion of the minimum error, was applied to the set of the multispectral data. They represented real images of the Earth 's surface obtained from remote Earth sensing. This paper describes the experiences and resuIts obtained during the classification of extensive sets of this multispectral data and an analysis of the influence of dispersions and the mean values of the features of the classification results.

Ključne riječi
classification; Bayes classifier; features; multispectral data; decision rule

Hrčak ID: 78460

URI
https://hrcak.srce.hr/78460

Posjeta: 279 *