Automatic detection of seismic damages from very high monoscopic spatial images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-020-00260-0.pdf
Reference47 articles.
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2. Anniballe, R., Noto, F., Scalia, T., Bignami, C., Stramondo, S., Chini, M., et al. (2018). Earthquake damage mapping: An overall assessment of ground surveys and VHR image change detection after L’Aquila 2009 earthquake. Remote Sensing of Environment,210, 166–178.
3. Balz, T., & Liao, M. S. (2010). Building-damage detection using post-seismic high resolution SAR satellite data. International Journal of Remote Sensing,31, 3369–3391.
4. Chini, M., Bignami, C., Brunori, C. A., Atzori, S., Kyriakopoulos, C., Moro, M., Salvi, S., Stramondo, S., Tolomei, C., Trasatti, E., & Zoffoli, S. (2008). The remote sensing system for seismic risk management. In Geoscience and remote sensing symposium, Boston, USA (pp. 624–627).
5. Chini, M., Cinti, F. R., & Stramondo, S. (2011). Co-seismic surface effects from very high resolution panchromatic images: The case of the 2005 Kashmir (Pakistan) earthquake. Natural Hazards and Earth System,11, 931–943.
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