ADVANCED STRUCTURAL DISASTER DAMAGE ASSESSMENT BASED ON AERIAL OBLIQUE VIDEO IMAGERY AND INTEGRATED AUXILIARY DATA SOURCES
BibTeX
@MISC{Kerlea_advancedstructural,
author = {N. Kerlea and R. Stekelenburgb},
title = {ADVANCED STRUCTURAL DISASTER DAMAGE ASSESSMENT BASED ON AERIAL OBLIQUE VIDEO IMAGERY AND INTEGRATED AUXILIARY DATA SOURCES},
year = {}
}
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Abstract
Following natural and man-made disasters, comprehensive and reliable information on the nature, extent, and actual consequences of an event is required. Obtaining such information is particularly challenging following unheralded disasters, such as earthquakes or industrial accidents. In those situations, currently operational space-based sensors may not be able to provide timely data. In addition, even high spatial resolution satellites (< 1m) are limited in their capacity to reveal true 3D structural damage at a level of detail necessary for appropriate disaster response. In this study we investigated the use of oblique aerial video imagery for systematic quantitative damage assessment. Specifically, the following issues were addressed: (i) extraction of individual frames from aerial TV video data, and subsequent enhancement of frame information content using a synthetic aperture approach, and by stacking adjacent frames; (ii) spatial registration of individual frames based on automatically extracted positional information, and (iii) damage analysis based on HIS values and edge elements. We created a working environment that facilitates the video-based damage assessment process and integration with auxiliary data. The limited success of the automatic damage assessment was caused by poor image quality and empirically determined damage threshold values. We provide recommendations for improved image acquisition, and plan further work focusing on generic texture parameters and object geometry. As an illustration, we used aerial video data acquired in May 2000 over Enschede, the Netherlands, following the explosion of a fireworks factory that severely damaged or destroyed nearly 500 buildings and caused 22 fatalities.
Keyphrases
individual frame aerial tv video data limited success firework factory appropriate disaster response video-based damage assessment process edge element following issue synthetic aperture approach industrial accident improved image acquisition working environment automatic damage assessment damage analysis frame information content high spatial resolution satellite man-made disaster generic texture parameter aerial video data oblique aerial video imagery positional information object geometry plan work structural damage systematic quantitative damage assessment unheralded disaster determined damage threshold value adjacent frame reliable information poor image quality subsequent enhancement operational space-based sensor auxiliary data actual consequence spatial registration
