Comparison between maximum likelihood, artificial neural network and decision trees technique for land cover mapping using remotely sensed data
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2010
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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 |