Object-Oriented Image Understanding and Post-Earthquake Damage Assessment for the 2003 Bam, Iran, Earthquake

被引：44

作者：

Gusella, Luca ^{[1
]}

Adams, Beverley J. ^{[2
]}

Bitelli, Gabriele ^{[1
]}

Huyck, Charles K. ^{[2
]}

Mognol, Alessandro ^{[1
]}

机构：

[1] Univ Bologna, DISTART, Viale Risorgimento 2, I-40136 Bologna, Italy

[2] ImageCat Inc, Long Beach, CA 90802 USA

来源：

EARTHQUAKE SPECTRA | 2005年 / 21卷

关键词：

D O I：

10.1193/1.2098629

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This paper presents a methodology for quantifying the number of buildings that collapsed following the Bam earthquake. The approach is object rather than pixel-oriented, commencing with the inventory of buildings as objects in high-resolution QuickBird satellite imagery captured before the event. The number of collapsed structures is computed based on the unique statistical characteristics of these objects/buildings within the "after" scene. A total of 18,872 structures were identified within Bam, of which the results suggest that 34% collapsed-a total of 6,473. Preliminary assessments indicate an overall accuracy for the damage classification of 70.5%.

引用

页码：S225 / S238

页数：14

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