Improvement of quality of the results of controllable classification of multispectral satellite images

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Authors: І.N. Garkusha, Candidate of Sciences (Tech.), Associate Professor, Senior Lecturer of the GIS Department of the State Higher Educational Institution “National Mining University”, Dnipropetrovsk, Ukraine

Annotation:

The paper considers the problem of Earth surface types recognition, with similar spectral characteristics in multispectral satellite imagery obtained by the scanner QuickBird-2. A method of Earth surface types recognition, based on the method of building of areas by segments and spatial analysis of the pixel brightness is proposed. The paper presents the results of processing of satellite imagery of urban area by means of introduced algorithms.

Bibliography:

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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You are here: Home Archive by issue 2011 Contents No.2 2011 To the 15th anniversary of Geoinformatic Systems Department Improvement of quality of the results of controllable classification of multispectral satellite images