Title :
Machine-based snow line determination and the identification of ice sheet features in visible and SAR imagery
Author :
Lin, I.-I. ; Rees, W.G.
Author_Institution :
Centre for Remote Imaging, Sensing & Process., Nat. Univ. of Singapore, Singapore
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
Keywords :
edge detection; feature extraction; fractals; geophysical signal processing; glaciology; hydrological techniques; image texture; radar imaging; remote sensing; remote sensing by radar; snow; synthetic aperture radar; SAR imagery; aerial photography; automatic algorithm; feature extraction; fractal dimension; geophysical measurement technique; glacier mass balance; glaciology; hydrology; ice sheet feature identification; image processing; image texture; machine-based snow line determination; optical imaging; radar remote sensing; snow cover; snow line position; visible image; Condition monitoring; Humans; IEEE members; Ice; Layout; Reflectivity; Remote monitoring; Remote sensing; Satellites; Snow;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516955
