Comparison between maximum likelihood, artificial neural network and decision trees technique for land cover mapping using remotely sensed data

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主要作者: Gelungan, Cassindra
格式: Thesis
出版: 2010
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id my-utm-ep.16329
record_format uketd_dc
spelling my-utm-ep.163292011-10-24T08:39:54Z Comparison between maximum likelihood, artificial neural network and decision trees technique for land cover mapping using remotely sensed data 2010-00 Gelungan, Cassindra Unspecified 2010-00 Thesis http://eprints.utm.my/id/eprint/16329/ masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Unspecified
spellingShingle Unspecified
Gelungan, Cassindra
Comparison between maximum likelihood, artificial neural network and decision trees technique for land cover mapping using remotely sensed data
description
format Thesis
qualification_level Master's degree
author Gelungan, Cassindra
author_facet Gelungan, Cassindra
author_sort Gelungan, Cassindra
title Comparison between maximum likelihood, artificial neural network and decision trees technique for land cover mapping using remotely sensed data
title_short Comparison between maximum likelihood, artificial neural network and decision trees technique for land cover mapping using remotely sensed data
title_full Comparison between maximum likelihood, artificial neural network and decision trees technique for land cover mapping using remotely sensed data
title_fullStr Comparison between maximum likelihood, artificial neural network and decision trees technique for land cover mapping using remotely sensed data
title_full_unstemmed Comparison between maximum likelihood, artificial neural network and decision trees technique for land cover mapping using remotely sensed data
title_sort comparison between maximum likelihood, artificial neural network and decision trees technique for land cover mapping using remotely sensed data
granting_institution Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department Faculty of Geoinformation and Real Estate
publishDate 2010
_version_ 1747815017145696256