@article {21443,
	title = {Building Damage Assessment in the 2015 Gorkha, Nepal, Earthquake Using Only Post-Event Dual Polarization Synthetic Aperture Radar Imagery},
	journal = {Earthquake Spectra},
	volume = {33},
	year = {2017},
	pages = {S185-S195},
	abstract = {This paper takes the 2015 Nepal earthquake as a case study to explore the use of post-event dual polarimetric synthetic aperture radar images for earthquake damage assessment. The radar scattering characteristics of damaged and undamaged urban areas were compared by using polarimetric features derived from PALSAR-2 and Sentinel-1 images, and the results showed that distinguishing between damaged and undamaged urban areas with a single polarimetric feature is challenging. A split-based image analysis, feature selection, and supervised classification were employed on a PALSAR-2 image. The texture features derived from the intensity of cross-polarization show higher correlations with the damage class. Additionally, feature selection revealed a positive influence on the overall performance. Employing 70\% of the data for training and 30\% data for testing, the support vector machine classifier achieved an accuracy of 80.5\% compared with the reference data generated from the damage map that was provided by the United Nations Operational Satellite Applications Programme.},
	url = {http://earthquakespectra.org/doi/abs/10.1193/121516EQS232M?code=eeri-site},
	author = {Yanbing Bai and Bruno Adriano and Erick MAS and Shunichi KOSHIMURA}
}
