Remote Sensing Roof Damage Detection

The emergence of vhr remote sensing imagery with detailed texture and context information makes it possible to detect building damage based on only post event data.

Remote sensing roof damage detection.

State of the art remote sensing technologies provide an opportunity to obtain damage information faster and cheaper. Workshop on application of remote sensing to disaster response september 12 2003 irvine ca usa remote sensing technology for earthquake damage detection fumio yamazaki1 2 ken ichi kouchi1 masayuki kohiyama1 miguel estrada1 and masashi matsuoka2 1. Used a maximum likelihood ml classifier on sar features derived from the european remote sensing mission in combination with eo data provided by the indian remote sensing satellite in order to identify damaged structures. Institute of industrial science the university of tokyo japan 2.

This study utilized high spatial resolution oblique remote sensing data to assess the condition of garage doors and roof structure damage on residential structures following two tornadoes and one hurricane. Change detection in heterogeneous remote sensing images is crucial for disaster damage assessment. Failures of these large openings can lead to internal pressurization which can cause additional structural damage to roofs and walls. Recent methods use homogenous transformation which transforms the heterogeneous optical and synthetic aperture radar sar remote sensing images into the same feature space to achieve change detection.

Although there have been several researches carried out to improve techniques for building damage detection a reliable damage assessment requires semantic integration of remote sensing data based on structural engineering knowledge. Much promising work has been conducted in this area. Automatic building damage detection method using high resolution remote sensing images and 3d gis model.