Snow avalanche detection and classification algorithm for GB-SAR imagery

被引：0

作者：

Martinez-Vazquez, Alberto ^{[1
]}

Fortuny-Guasch, Joaquim ^{[1
]}

机构：

[1] European Commiss, DG Joint Res Ctr, Inst Protect & Secur Citizens, Ispra, Italy

来源：

IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年

关键词：

snow avalanche; GB-SAR; interferometry; change detection;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents an algorithm for the automatic detection and classification of snow avalanches using GB-SAR imagery. The algorithm has been validated extensively in two different test sites in Sion (CH) and Alagna (1), respectively. Results show an important reduction on the images to manually supervise and minimal false negative rate. The real-time availability of the location and extent of the avalanche events provided by this system has demonstrated to be of high interest to ski resort administrators, allowing a more efficient management of the resources available to prepare the tracks.

引用

页码：3740 / 3743

页数：4

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