1999
DOI: 10.1080/10106049908542100
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SPOT Panchromatic Imagery and Neural Networks for Information Extraction in a Complex Mountain Environment

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Cited by 60 publications
(29 citation statements)
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“…Glacier boundaries can easily be misinterpreted. Other techniques for glacier boundary delineation include the image ratio approach (e.g., Hall et al 1989, Paul et al 2002, supervised and unsupervised classification (e.g., Gratton et al 1990, Aniya et al 1996, and the use of artificial neural networks (e.g., Bishop et al 1999). Most of these techniques require image preprocessing and work reasonably well for clean ice, but they tend to fail for debris-covered glaciers.…”
Section: Alpine Glacier Mappingmentioning
confidence: 99%
“…Glacier boundaries can easily be misinterpreted. Other techniques for glacier boundary delineation include the image ratio approach (e.g., Hall et al 1989, Paul et al 2002, supervised and unsupervised classification (e.g., Gratton et al 1990, Aniya et al 1996, and the use of artificial neural networks (e.g., Bishop et al 1999). Most of these techniques require image preprocessing and work reasonably well for clean ice, but they tend to fail for debris-covered glaciers.…”
Section: Alpine Glacier Mappingmentioning
confidence: 99%
“…(b) A number of approaches are available to estimate the extent of debris accumulations, for example, from air-or space-borne remote sensing (e.g. Bishop et al, 1999;Kieffer et al, 2000;Taschner and Ranzi, 2002;Paul, 2003). Literature on the estimation of debris accumulation thickness, in contrast, is generally sparse.…”
Section: Main Challengesmentioning
confidence: 99%
“…Bishop et al (1995) and Bishop et al (1999) applied an ANN to estimate the supraglacial debris loads of Himalayan glaciers, using pre-defined glacier outlines. Lougeay (1974) proposed to detect debris that is cooled by underlaying ice by its lower radiometric temperature.…”
Section: Previous Workmentioning
confidence: 99%