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Journal of Automation and Information Sciences

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

The Method of Choice and Analysis of Learning Lots for Classification of Remote Probing Data

Volumen 39, Ausgabe 4, 2007, pp. 61-68
DOI: 10.1615/JAutomatInfScien.v39.i4.50
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ABSTRAKT

The method of choice and analysis of learning lots for classification of polyzonal sattelite images is presented. The particular features of the self-descriptiveness of characteristics of the representative classes of land-utilization are considered.

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