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

Volume

4

fYear

1996

fDate

27-31 May 1996

Firstpage

2261

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.1996.516955

Filename

516955