Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest
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Year
: 2014DOI: 10.1109/TGRS.2013.2294762
Keyword(s): Bayes methods,geophysics computing,land cover,pattern classification,pattern clustering,support vector machines,terrain mapping,Bayesian classifier,automatic tools,clustering techniques,k-means,mean shift,pattern recognition techniques,satellite on-board imaging systems,satellite-based land cover classification,supervised optimum-path forest framework,support vector machines,unsupervised situation,Earth,Optimized production technology,Pattern recognition,Prototypes,Remote s
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Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest
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| contributor author | Pisani, Rodrigo Jose | |
| contributor author | Mizobe Nakamura, Rodrigo Yuji | |
| contributor author | Setti Riedel, Paulina | |
| contributor author | Lopes Zimback, Celia Regina | |
| contributor author | Xavier Falcao, Alexandre | |
| contributor author | Papa, Joao Paulo | |
| date accessioned | 2020-03-12T18:42:12Z | |
| date available | 2020-03-12T18:42:12Z | |
| date issued | 2014 | |
| identifier issn | 0196-2892 | |
| identifier other | 6719506.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/967442 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8001430 | |
| subject keywords | Bayes methods | |
| subject keywords | geophysics computing | |
| subject keywords | land cover | |
| subject keywords | pattern classification | |
| subject keywords | pattern clustering | |
| subject keywords | support vector machines | |
| subject keywords | terrain mapping | |
| subject keywords | Bayesian classifier | |
| subject keywords | automatic tools | |
| subject keywords | clustering techniques | |
| subject keywords | k-means | |
| subject keywords | mean shift | |
| subject keywords | pattern recognition techniques | |
| subject keywords | satellite on-board imaging systems | |
| subject keywords | satellite-based land cover classification | |
| subject keywords | supervised optimum-path forest framework | |
| subject keywords | support vector machines | |
| subject keywords | unsupervised situation | |
| subject keywords | Earth | |
| subject keywords | Optimized production technology | |
| subject keywords | Pattern recognition | |
| subject keywords | Prototypes | |
| subject keywords | Remote s | |
| identifier doi | 10.1109/TGRS.2013.2294762 | |
| journal title | Geoscience and Remote Sensing, IEEE Transactions on | |
| journal volume | 52 | |
| journal issue | 10 | |
| filesize | 3610316 | |
| citations | 0 |