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Noise Estimation of Remote Sensing Reflectance Using a Segmentation Approach Suitable for Optically Shallow Waters

contributor authorSagar, S.
contributor authorBrando, Vittorio
contributor authorSambridge, Malcolm
date accessioned2020-03-12T23:59:42Z
date available2020-03-12T23:59:42Z
date issued2014
identifier issn0196-2892
identifier other6803988.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1130689?show=full
formatgeneral
languageEnglish
publisherIEEE
titleNoise Estimation of Remote Sensing Reflectance Using a Segmentation Approach Suitable for Optically Shallow Waters
typeJournal Paper
contenttypeMetadata Only
identifier padid8311275
subject keywordsgeophysical image processing
subject keywordsimage segmentation
subject keywordsoceanographic techniques
subject keywordsremote sensing
subject keywordsPHILLS hyperspectral image
subject keywordsPortable Hyperspectral Imager for Low-Light Spectroscopy
subject keywordsaquatic remote sensing imagery
subject keywordscoral reef environment
subject keywordsenvironmental noise equivalent reflectance
subject keywordsimage segmentation
subject keywordsnoise characteristics
subject keywordsobject-based segmentation approach
subject keywordsoptically deep water
subject keywordsoptically shallow water environment
subject keywordsoptically shallow waters
subject keywordsremote sensing imagery
subject keywordsremote sensing reflectance noise e
identifier doi10.1109/TGRS.2014.2313129
journal titleGeoscience and Remote Sensing, IEEE Transactions on
journal volume52
journal issue12
filesize993847
citations0


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