DocumentCode :
1246981
Title :
A comprehensive, automated approach to determining sea ice thickness from SAR data
Author :
Haverkamp, Donna ; Kiat Soh, Leen ; Tsatsoulis, Costas
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Kansas Univ., Lawrence, KS, USA
Volume :
33
Issue :
1
fYear :
1995
fDate :
1/1/1995 12:00:00 AM
Firstpage :
46
Lastpage :
57
Abstract :
Documents an approach to sea ice classification through a combination of methods, both algorithmic and heuristic. The resulting system is a comprehensive technique, which uses dynamic local thresholding as a classification basis and then supplements that initial classification using heuristic geophysical knowledge organized in expert systems. The dynamic local thresholding method allows separation of the ice into thickness classes based on local intensity distributions. Because it utilizes the data within each image, it can adapt to varying ice thickness intensities to regional and seasonal changes and is not subject to limitations caused by using predefined parameters
Keywords :
expert systems; oceanographic techniques; remote sensing by radar; sea ice; synthetic aperture radar; thickness measurement; SAR data; comprehensive automated approach; dynamic local thresholding; dynamic local thresholding method; expert systems; heuristic geophysical knowledge; ice thickness classes; regional changes; sea ice classification; sea ice thickness determination; seasonal changes; synthetic aperture radar; Expert systems; Heuristic algorithms; Histograms; Humans; Ice thickness; NASA; Oceans; Sea ice; Synthetic aperture radar; Systems engineering and theory;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.368223
Filename :
368223
Link To Document :
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