Remote Sensing Roof Damage Detection

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.

Remote sensing roof damage detection.

Jihui tu a b haigang sui a wenqing feng a zhina songa. Institute of industrial science the university of tokyo japan 2. Much promising work has been conducted in this area. Building damage detection using only post event data.

Failures of these large openings can lead to internal pressurization which can cause additional structural damage to roofs and walls. One technique for damage detection involves fusion of sar and eo data in pixel based damage detection. State of the art remote sensing technologies provide an opportunity to obtain damage information faster and cheaper. Change detection in heterogeneous remote sensing images is crucial for disaster damage assessment.

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. 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. 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.