Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/112878
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dc.titleMachine-based snow line determination and the identification of ice sheet features in visible and SAR imagery
dc.contributor.authorLin, I.-I.
dc.contributor.authorRees, W.G.
dc.date.accessioned2014-11-28T07:57:50Z
dc.date.available2014-11-28T07:57:50Z
dc.date.issued1996
dc.identifier.citationLin, I.-I.,Rees, W.G. (1996). Machine-based snow line determination and the identification of ice sheet features in visible and SAR imagery. International Geoscience and Remote Sensing Symposium (IGARSS) 4 : 2261-2263. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/112878
dc.description.abstractThis study contributes to the study of the glacier mass balance in two aspects. First, the possibility of automated (machine-based) determination of the snow line position in the visible imagery is assessed. A texture parameter, the fractal dimension, is found to be characteristic of snow/ice facies and will thus be especially useful in the development of automatic algorithms. Secondly, the identification of glaciological features in SAR imagery is validated against aerial photography.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCTR FOR REM IMAGING,SENSING & PROCESSING
dc.description.sourcetitleInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.description.volume4
dc.description.page2261-2263
dc.description.codenIGRSE
dc.identifier.isiutNOT_IN_WOS
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