Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/112878
Title: Machine-based snow line determination and the identification of ice sheet features in visible and SAR imagery
Authors: Lin, I.-I. 
Rees, W.G.
Issue Date: 1996
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.
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.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/112878
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.