Earthquake damage assessment using objective image segmentation: A case study of 2010 Haiti earthquake
The free and open availability of high-resolution satellite and airborne imagery after the 2010 Haiti earthquake provided a new opportunity to analyze earthquake-induced damage. Previous work has analyzed pre- and post-event remote sensing images using pixel-based change detection. The drawback of these methods is that they have difficulty differentiating earthquake-induced damage from other natural and manmade changes. An alternate method is to analyze damage in terms of objects rather than image pixels. The significant advantage of object-based analysis is its ability to effectively use the characteristics of the change such as shape, length/width ratio, asymmetry etc. to differentiate between damage types. However, to make effective use of object-based analysis for earthquake-induced damage evaluation, we need a comprehensive understanding of all potentially useful earthquake-induced damage characteristics, specifically from a segmentation-based perspective. In 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 earthquakeinduced 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. © 2012 American Society of Civil Engineers.
Geotechnical Special Publication
Earthquake damage assessment using objective image segmentation: A case study of 2010 Haiti earthquake.
Geotechnical Special Publication(225 GSP), 3069-3078.
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