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The aim is to improve the accuracy and speed of seismic damage mapping using airborne imagery.

Automatic Structural Seismic Damage Assessment with Airborne Oblique Pictometry© Imagery

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The aim is to improve the accuracy and speed of seismic damage mapping using airborne imagery.
Used photogrammetrically processed airborne oblique imagery for damage assessment.
Implemented supervised classification into four categories: façades, intact roofs, destroyed roofs, and vegetation using 22 features.
Combined classification results from multiple viewing angles to compute a per-building damage score based on the European Macroseismic Scale.
Achieved overall classification accuracies of 70% for façades and 63% for overall building damage.
Image stereo overlap improved classification of façades.
Encountered subjectivity and vague definitions affecting the classification accuracy by up to 10%.

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Randomized trial evaluates seismic damage assessment in buildings, highlighting the advantages of airborne imagery.

Gerke et al. (2011) studied this question.

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