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Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest

contributor authorPisani, Rodrigo Jose
contributor authorMizobe Nakamura, Rodrigo Yuji
contributor authorSetti Riedel, Paulina
contributor authorLopes Zimback, Celia Regina
contributor authorXavier Falcao, Alexandre
contributor authorPapa, Joao Paulo
date accessioned2020-03-12T18:42:12Z
date available2020-03-12T18:42:12Z
date issued2014
identifier issn0196-2892
identifier other6719506.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/967442?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleToward Satellite-Based Land Cover Classification Through Optimum-Path Forest
typeJournal Paper
contenttypeMetadata Only
identifier padid8001430
subject keywordsBayes methods
subject keywordsgeophysics computing
subject keywordsland cover
subject keywordspattern classification
subject keywordspattern clustering
subject keywordssupport vector machines
subject keywordsterrain mapping
subject keywordsBayesian classifier
subject keywordsautomatic tools
subject keywordsclustering techniques
subject keywordsk-means
subject keywordsmean shift
subject keywordspattern recognition techniques
subject keywordssatellite on-board imaging systems
subject keywordssatellite-based land cover classification
subject keywordssupervised optimum-path forest framework
subject keywordssupport vector machines
subject keywordsunsupervised situation
subject keywordsEarth
subject keywordsOptimized production technology
subject keywordsPattern recognition
subject keywordsPrototypes
subject keywordsRemote s
identifier doi10.1109/TGRS.2013.2294762
journal titleGeoscience and Remote Sensing, IEEE Transactions on
journal volume52
journal issue10
filesize3610316
citations0


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