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Earthquake Damage Assessment Using Objective Image Segmentation: A Case Study of 2010 Haiti EarthquakeIn this study, we perform a case study on imagery from the Haiti earthquake that evaluates a novel object-based approach for characterizing earthquake induced surface effects of liquefaction against a traditional pixel based change technique. Our technique, which combines object-oriented change detection with discriminant/categorical functions, shows the power of distinguishing earthquake-induced surface effects from changes in buildings using the object properties concavity, convexity, orthogonality and rectangularity. Our results suggest that object-based analysis holds promise in automatically extracting earthquake-induced damages from high-resolution aerial/satellite imagery.
Document ID
20130000020
Document Type
Conference Paper
External Source(s)
Authors
Oommen, Thomas (Michigan Technological Univ. Houghton, MI, United States)
Rebbapragada, Umaa (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Cerminaro, Daniel (Michigan Technological Univ. Houghton, MI, United States)
Date Acquired
August 27, 2013
Publication Date
March 25, 2012
Subject Category
Geophysics
Meeting Information
American Society of Civil Engineers GeoCongress 2012(Oakland, CA)
Distribution Limits
Public
Copyright
Other
Keywords
image segmentation
earthquake,
damage assessment
remote sensing