Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/112878
DC Field | Value | |
---|---|---|
dc.title | Machine-based snow line determination and the identification of ice sheet features in visible and SAR imagery | |
dc.contributor.author | Lin, I.-I. | |
dc.contributor.author | Rees, W.G. | |
dc.date.accessioned | 2014-11-28T07:57:50Z | |
dc.date.available | 2014-11-28T07:57:50Z | |
dc.date.issued | 1996 | |
dc.identifier.citation | Lin, 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.uri | http://scholarbank.nus.edu.sg/handle/10635/112878 | |
dc.description.abstract | This 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.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | CTR FOR REM IMAGING,SENSING & PROCESSING | |
dc.description.sourcetitle | International Geoscience and Remote Sensing Symposium (IGARSS) | |
dc.description.volume | 4 | |
dc.description.page | 2261-2263 | |
dc.description.coden | IGRSE | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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