Iranian Remote Sensing and GIS Society / Shahid Beheshti University Iranian Journal of Remote Sensing and GIS 2008-5966 7 3 2016 01 21 Detection of earthquake damaged buildings in satellite images using texture analysis and Very High Resolution (VHR) A case study of the 2010 earthquake in Port-au-Prince Detection of earthquake damaged buildings in satellite images using texture analysis and Very High Resolution (VHR) A case study of the 2010 earthquake in Port-au-Prince 17 32 95848 FA Ali Akbar Matkan Professor of Remote Sensing & GIS Department., Shahid Beheshti University 0000-0001-5394-4599 Babak Mansouri Professor of Remote Sensing & GIS Department., Shahid Beheshti University Babak Mirbagheri Lecturer of Remote Sensing & GIS Dep., Shahid Beheshti University Fariba Karbalaei M.Sc. RS & GIS, Earth Sciences Faculty, Shahid Beheshti University Journal Article 2016 11 06 Earthquake is one of the most destructive natural disasters which frequently occurs with different intensities. Earthquakes cause severe damage to buildings, main roads and most importantly, loss of life. Detection of damaged buildings caused by such an event at the right time is a critical issue for crisis management and disaster relief. The aim of this study is to detect earthquake damaged buildings using very high resolution (VHR) satellite imagery. To achieve this result, the satellite images with very high resolution before and after the earthquake in Port-au-Prince in Haiti as well as the observed destruction map in 2010 were used. In this study, the optimum features extracted from the image were selected using correlation analysis. The buildings destroyed were classified using fuzzy inference system and the values of selected textures. Finally, the damage map obtained from the proposed algorithm was compared to the map of the area. The kappa criterion estimated from the results of the proposed method is 82% while the index- Jaccard parameter is 89.69%. Earthquake is one of the most destructive natural disasters which frequently occurs with different intensities. Earthquakes cause severe damage to buildings, main roads and most importantly, loss of life. Detection of damaged buildings caused by such an event at the right time is a critical issue for crisis management and disaster relief. The aim of this study is to detect earthquake damaged buildings using very high resolution (VHR) satellite imagery. To achieve this result, the satellite images with very high resolution before and after the earthquake in Port-au-Prince in Haiti as well as the observed destruction map in 2010 were used. In this study, the optimum features extracted from the image were selected using correlation analysis. The buildings destroyed were classified using fuzzy inference system and the values of selected textures. Finally, the damage map obtained from the proposed algorithm was compared to the map of the area. The kappa criterion estimated from the results of the proposed method is 82% while the index- Jaccard parameter is 89.69%. https://gisj.sbu.ac.ir/article_95848_7d34db3b1e27176349642358f7db6283.pdf