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Coalition game theory based feature subset selection for hyperspectral image classification

Author:
Gurram, P.
,
Heesung Kwon
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ESW.2014.6766898
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1052807
Keyword(s): electrical safety,n human factors,n corporate electrical safe work standards,n key audit methods,n worker behaviors,n Arc discharges,n Companies,n Electrical safety,n Inspection,n Interviews,n Safety,n Standards,n Audit Questions,n Electrical Safety,n Human Factors
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    Coalition game theory based feature subset selection for hyperspectral image classification

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contributor authorGurram, P.
contributor authorHeesung Kwon
date accessioned2020-03-12T21:33:35Z
date available2020-03-12T21:33:35Z
date issued2014
identifier other6947223.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1052807?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleCoalition game theory based feature subset selection for hyperspectral image classification
typeConference Paper
contenttypeMetadata Only
identifier padid8183049
subject keywordselectrical safety
subject keywordsn human factors
subject keywordsn corporate electrical safe work standards
subject keywordsn key audit methods
subject keywordsn worker behaviors
subject keywordsn Arc discharges
subject keywordsn Companies
subject keywordsn Electrical safety
subject keywordsn Inspection
subject keywordsn Interviews
subject keywordsn Safety
subject keywordsn Standards
subject keywordsn Audit Questions
subject keywordsn Electrical Safety
subject keywordsn Human Factors
identifier doi10.1109/ESW.2014.6766898
journal titleeoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
filesize192731
citations0
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