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Session 1: Sustainability and waste management

Publisher:
IEEE
Year
: 2014
DOI: 10.1109/Agro-Geoinformatics.2014.6910612
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1099210
Keyword(s): backpropagation,n geophysical image processing,n image classification,n maximum likelihood estimation,n neural nets,n vegetation mapping,n AD 2013 08 19,n Chongqing,n Cunninghamia lanceolata,n Cupressus funebris,n Landsat 8 OLI data,n OLI multispectral remote sensing image,n Pinus massoniana,n Zhongliang Mountian,n aspect information,n back propagation artificial neural network,n bamboo forest,n broadleaf forest,n desertified karst region
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    Session 1: Sustainability and waste management

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date accessioned2020-03-12T22:55:17Z
date available2020-03-12T22:55:17Z
date issued2014
identifier other7030088.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1099210?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleSession 1: Sustainability and waste management
typeConference Paper
contenttypeMetadata Only
identifier padid8240758
subject keywordsbackpropagation
subject keywordsn geophysical image processing
subject keywordsn image classification
subject keywordsn maximum likelihood estimation
subject keywordsn neural nets
subject keywordsn vegetation mapping
subject keywordsn AD 2013 08 19
subject keywordsn Chongqing
subject keywordsn Cunninghamia lanceolata
subject keywordsn Cupressus funebris
subject keywordsn Landsat 8 OLI data
subject keywordsn OLI multispectral remote sensing image
subject keywordsn Pinus massoniana
subject keywordsn Zhongliang Mountian
subject keywordsn aspect information
subject keywordsn back propagation artificial neural network
subject keywordsn bamboo forest
subject keywordsn broadleaf forest
subject keywordsn desertified karst region
identifier doi10.1109/Agro-Geoinformatics.2014.6910612
journal titleustainable Technologies (WCST), 2014 World Congress on
filesize983177
citations0
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