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PhD Defense- Jim Thomas

Start: 9/14/2012 at 10:00AM
End: 9/14/2012 at 12:00PM
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"Computer Vision Techniques for Damage Assessment from High Resolution Remote Sensing Imagery." 

Jim Thomas
University of Notre Dame

Abstract

Techniques in post-disaster assessment from remote sensing imagery have been studied by different research communities in the past decade. Such an assessment benefits everybody from government organizations and insurance agencies to individual home owners. This work explores the application of existing and novel computer vision algorithms for an automated damage assessment. The various subproblems studied include geometric and photometric correction, object recognition and change classification based on textural differences. Past work done in this area by remote sensing, geoscience, civil engineering and image processing communities had established that the problems addressed in these areas were challenging and largely unsolved. The solutions proposed in this work are strongly motivated for building a system capable of fast, robust and fine-grained damage analysis from real world imagery. The algorithms introduced are thoroughly evaluated and compared with previous works. The results demonstrate that this work promises new leaps in the field of automated damage classification and provides insights into the reliability of such analysis in real world scenarios.