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Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats — A new approach combining OBIA and k-partite graphs

contributor authorGuttler, F.
contributor authorAlleaume, S.
contributor authorCorbane, C.
contributor authorIenco, D.
contributor authorNin, J.
contributor authorPoncelet, P.
contributor authorTeisseire, M.
date accessioned2020-03-12T21:33:47Z
date available2020-03-12T21:33:47Z
date issued2014
identifier other6947344.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1052926?show=full
formatgeneral
languageEnglish
publisherIEEE
titleExploring high repetitivity remote sensing time series for mapping and monitoring natural habitats — A new approach combining OBIA and k-partite graphs
typeConference Paper
contenttypeMetadata Only
identifier padid8183182
subject keywordsactuators
subject keywordsn computer based training
subject keywordsn haptic interfaces
subject keywordsn musical instruments
subject keywordsn PI
subject keywordsn drumming learning
subject keywordsn haptic guidance system
subject keywordsn mental processing times
subject keywordsn multiple actuators
subject keywordsn natural egocentric mapping
subject keywordsn perceptual assessment
subject keywordsn percussion instrument
subject keywordsn striking strength
subject keywordsn time 0.15 s
subject keywordsn time 0.30 s
subject keywordsn time 0.46 s
subject keywordsn vibrotactile guidance cues
subject keywordsn Accuracy
subject keywordsn Force
subject keywordsn Haptic interfaces
subject keywordsn Mice
subject keywordsn Time factors
subject keywordsn Vibrations
subject keywordsn Visualizatio
identifier doi10.1109/HAPTICS.2014.6775447
journal titleeoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
filesize859846
citations0


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