@inproceedings{27f41b6eebf949ebaa9c681bbfa9b466,
title = "Automated building damage assessment using remote-sensing imagery",
abstract = "The automated comparison of before-and-after remote-sensing imagery provides an effective means for rapid and widespread assessment of windstorm damage to individual buildings. The development of automated damage-assessment algorithms involves the classification of building damage signatures from a remote-sensing perspective, the identification of corresponding temporal change metrics, and the correlation of remote-sensing change signatures with actual field-based damage observations. Hurricanes Charley (August 2004) and Ivan (September 2004) marked the first major hurricanes for which high-resolution satellite images were available. These storms provided an exceptional set of before-and- after images. Investigators from Texas Tech University and ImageCat, Inc. obtained temporal satellite image sequences and performed associated ground-truthing damage surveys for these major hurricanes. This paper chronicles the use of the before-and-after hurricane imagery to develop remote-sensing-based damage scales for various building inventories; the correlation of remote-sensing damage metrics with field-based damage investigations; and the progress in automated damage assessment using temporal image sequences.",
author = "Womble, {J. Arn} and Mehta, {Kishor C.} and Adams, {Beverley J.}",
year = "2007",
doi = "10.1061/40943(250)8",
language = "English",
isbn = "0784409439",
series = "Forensic Engineering (2007)",
booktitle = "Forensic Engineering (2007)",
note = "null ; Conference date: 16-05-2007 Through 19-05-2007",
}