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Fusion of Hyperspectral and LiDAR Data for Landscape Visual Quality Assessment

contributor authorYokoya, Naoto
contributor authorNakazawa, Susumu
contributor authorMatsuki, Tomohiro
contributor authorIwasaki, Akira
date accessioned2020-03-12T23:56:20Z
date available2020-03-12T23:56:20Z
date issued2014
identifier issn1939-1404
identifier other6783690.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1128718?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleFusion of Hyperspectral and LiDAR Data for Landscape Visual Quality Assessment
typeJournal Paper
contenttypeMetadata Only
identifier padid8308933
subject keywordsgeophysical image processing
subject keywordshyperspectral imaging
subject keywordsimage classification
subject keywordsimage fusion
subject keywordsregression analysis
subject keywordsremote sensing by laser beam
subject keywordsdepth images
subject keywordsfused hyperspectral-LIDAR data
subject keywordsimage classification
subject keywordslandscape visual quality assessment
subject keywordsleast absolute shrinkage and selection operator regression
subject keywordsremote sensing data
subject keywordsFeature extraction
subject keywordsHyperspectral imaging
subject keywordsLaser radar
subject keywordsQuality assessment
subject keywordsVisualization
subject keywordsHyperspectral data
subject keywordslandscape visual quality
subject keywordsleast absolute shrinkage and selectio
identifier doi10.1109/JSTARS.2014.2313356
journal titleSelected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
journal volume7
journal issue6
filesize1191760
citations1


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