A COMPREHENSIVE, AUTOMATED APPROACH TO DETERMINING SEA-ICE THICKNESS FROM SAR DATA

被引：48
|
作者：
HAVERKAMP, D
SOH, LK
TSATSOULIS, C
机构：
[1] Center for Excellence in Computer Aided Systems Engineering, Department of Electrical Engineering and Computer Science, The University of Kansas, Lawrence
来源：
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1995年 / 33卷 / 01期
基金：
美国国家航空航天局;
关键词：
D O I：
10.1109/36.368223
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
This paper 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 charges and is not subject to limitations caused by using predefined parameters,
引用
收藏
页码：46 / 57
页数：12
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