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Remote Sensing for Resilient Multi-Hazard Disaster Response. Volume II: Counting the Number of Collapsed Buildings Using an Object-Oriented Analysis: Case Study of the 2003 Bam Earthquake.
Gusella, L.; Huyck, C. K.; Adams, B. J.
Multidisciplinary Center for Earthquake Engineering Research, Buffalo, NY.; Federal Highway Administration, Washington, DC.; National Science Foundation, Arlington, VA. Earthquake Engineering Research Centers Program., November 17, 2008, 86 p.
Identifying Number(s)
This report presents a new image processing technique based on 'object-oriented' analysis to count the number of buildings that collapsed during the 2003 Bam, Iran earthquake. Two methodologies are presented, both using a two-phase process comprising building inventory development and damage assessment. Building inventory development provides a count of the total number of structures (both damaged and non-damaged) based on analysis of the before building stock. The damage assessment employs reclassification and edge extraction theoretical techniques to identify the presence of collapsed structures. This is Volume II of a five part series of reports that investigate the use of remote sensing techniques for resilient multi-hazard disaster response.
Collapsed buildings; Object-oriented analyses; Middle East; Remote sensing; Iran; Damage assessments; Image processing techniques; Building inventory development; 2003 Bam Earthquake; Foreign countries; Earthquakes