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A Novel Method for Hyperspectral Image Classification Based on Laplacian Eigenmap Pixels Distribution-Flow

Author:
Hou, Biao
,
Zhang, Xiangrong
,
Ye, Qiang
,
Zheng, Yaoguo
Year
: 2013
DOI: 10.1109/JSTARS.2013.2259470
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/274232
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    A Novel Method for Hyperspectral Image Classification Based on Laplacian Eigenmap Pixels Distribution-Flow

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contributor authorHou, Biao
contributor authorZhang, Xiangrong
contributor authorYe, Qiang
contributor authorZheng, Yaoguo
date accessioned2020-03-10T19:23:34Z
date available2020-03-10T19:23:34Z
date issued2013
identifier otherqmg62r06aDW_37Kzaztq3mvR4a_cuKDgrD77wKHtBwSGeis0AO.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/274232?locale-attribute=en
formatgeneral
languageEnglish
titleA Novel Method for Hyperspectral Image Classification Based on Laplacian Eigenmap Pixels Distribution-Flow
typeJournal Paper
contenttypeFulltext
contenttypeFulltext
identifier padid1710894
identifier doi10.1109/JSTARS.2013.2259470
coverageAcademic
pages1602-1618
journal volume6
journal issue3
filesize4455907
citations2
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