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A Novel Method to Estimate Subpixel Temperature by Fusing Solar-Reflective and Thermal-Infrared Remote-Sensing Data With an Artificial Neural Network

Author:
Guijun Yang
,
Ruiliang Pu
,
Wenjiang Huang
,
Jihua Wang
,
Chunjiang Zhao
Year
: 2010
DOI: 10.1109/TGRS.2009.2033180
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1633912
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    A Novel Method to Estimate Subpixel Temperature by Fusing Solar-Reflective and Thermal-Infrared Remote-Sensing Data With an Artificial Neural Network

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contributor authorGuijun Yang
contributor authorRuiliang Pu
contributor authorWenjiang Huang
contributor authorJihua Wang
contributor authorChunjiang Zhao
date accessioned2020-03-14T11:36:54Z
date available2020-03-14T11:36:54Z
date issued2010
identifier otherBGnKQw1TmwBaQTaDpagQ4Q0vjXtBqJBX6_1PWNMgTaLJcVnhCm.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1633912
formatgeneral
languageEnglish
titleA Novel Method to Estimate Subpixel Temperature by Fusing Solar-Reflective and Thermal-Infrared Remote-Sensing Data With an Artificial Neural Network
typeJournal Paper
contenttypeFulltext
contenttypeFulltext
identifier padid11775737
identifier doi10.1109/TGRS.2009.2033180
journal titleIEEE Transactions on Geoscience and Remote Sensing
coverageAcademic
pages2170-2178
journal volume48
journal issue4
filesize1074963
citations0
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