SKELETAL MODELING OF ICE LEADS

被引：8

作者：

BANFIELD, J

机构：

[1] Department of Mathematical Sciences, Montana State University, Bozeman

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1992年 / 30卷 / 05期

关键词：

SAR; MORPHOLOGY; SMOOTHING; LEAD STATISTICS; SEA ICE; DATA COMPRESSION;

D O I：

10.1109/36.175326

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：

A morphological, model-based method for the automatic identification of ice leads is presented. The morphological model is based on skeletons, a tool from mathematical morphology that provides a structural description of ice lead shape. The model provides a significant reduction in the space needed to store an image with virtually no loss of morphological information. To illustrate the use of skeletons, various lead statistics, such as length and area, are calculated from lead skeletons and used to assess the effect of image smoothing and thresholding.

引用

页码：918 / 923

页数：6

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