Post Disaster Mapping With Semantic Change Detection in Satellite Imagery

Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0

Abstract


Accurate road maps are important for timely disaster relief efforts and risk management. Current disaster mapping is done manually by volunteers following a disaster and the process is slow and error prone. We propose a framework for identifying accessible roads in post-disaster satellite imagery by detecting changes from pre-disaster imagery, in conjunction with OpenStreetMap data. We validate our results with data from Indonesia 2018 tsunami, obtained from DigitalGlobe.

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[pdf]
[bibtex]
@InProceedings{Gupta_2019_CVPR_Workshops,
author = {Gupta, Ananya and Welburn, Elisabeth and Watson, Simon and Yin, Hujun},
title = {Post Disaster Mapping With Semantic Change Detection in Satellite Imagery},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}