Object-Oriented Image Understanding and Post-Earthquake Damage Assessment for the 2003 Bam, Iran, Earthquake
| Autor: | Gabriele Bitelli, Luca Gusella, Alessandro Mognol, Charles K. Huyck, Beverley J. Adams |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
021110 strategic
defence & security studies Object-oriented programming Computer science 0211 other engineering and technologies 02 engineering and technology 010502 geochemistry & geophysics Geotechnical Engineering and Engineering Geology Object (computer science) 01 natural sciences Image (mathematics) Geophysics Satellite imagery Seismic risk Cartography 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Earthquake Spectra. 21:225-238 |
| ISSN: | 1944-8201 8755-2930 |
| DOI: | 10.1193/1.2098629 |
| Popis: | 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%. |
| Databáze: | OpenAIRE |
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