Automatic three-dimensional features extraction: The case study of L'Aquila for collapse identification after April 06, 2009 earthquake

References

• Adams B.J., Mansouri B., Huyck C.K., (2005)—Streamlining post-earthquake data collection and damage assessment for the 2003 Bam, Iran earthquake using visualizing impacts of earthquakes with satellites (VIEWS). Earthquake Spectra, 21 (S1): 213–218. doi: http://dx.doi.org/10.1193/1.2098588.
   Google Scholar
• Adams S.M., Friedland C.J. (2011)—A survey of unmanned aerial vehicle (UAV) usage for imagery collection in disaster research and management. In “The 9th International Workshop on Remote Sensing for Disaster Response”, Stanford University on 15–16 September 2011.
   Google Scholar
• Ajmar A., Boccardo P., Tonolo F.G. (2011)—Earthquake damage assessment based on remote sensing data. The Haiti case study. Italian Journal of Remote Sensing, 43 (2): 123–128. doi: http://dx.doi.org/10.5721/ItJRS20114329.
   Google Scholar
• Al-Khudhairy D.H.A., Caravaggi I., Giada S. (2005)—Structural Damage Assessments from Ikonos Data Using Change Detection, Object-Oriented Segmentation, and Classification Techniques. Photogrammetric Engineering & Remote Sensing, 71, (7): 825–837. doi: http://dx.doi.org/10.14358/PERS.7L7.825.
   Google Scholar
• Baiocchi V., Brigante R., Radicioni F. (2010)—Three-dimensional multispectral classification and its application to early seismic damage assessment. Italian Journal of Remote Sensing, 42 (3): 49–65. doi: http://dx.doi.org/10.5721/ItJRS20104234.
   Google Scholar
• Baiocchi V., Dominici D., Ferlito R., Giannone F., Guarascio M., Zucconi M. (2012)—Test of a building vulnerability model for L'Aquila earthquake. Applied Geomatics, 4 (2): 95–103. doi: http://dx.doi.org/10.1007/s12518-011-0065-x.
   Google Scholar
• Baiocchi V., Brigante R., Dominici D., Milone M. V. (2013)—Multispectral automatic feature extraction methodologies comparison. In Proceedings of ‘33rd EARSeL Symposium 2013.
   Google Scholar
• Baiocchi V., Dominici D., Milone M. V., Mormile M. (2013)—Development of a software to plan UAVs stereoscopic flight: An application on post earthquake scenario in L'Aquila city. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7974 LNCS (Part 4):150–165.
   Google Scholar
• Baiocchi V., Dominici D., Milone M.V., Mormile M. (2013)—DSMs extraction methodologies from EROS-B “pseudo-stereopairs”, PRISM stereopairs in coastal and post-seismic areas. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7974 LNCS (Part 4): 136–149.
   Google Scholar
• Baiocchi V., Dominici D., Giannone F., Zucconi M. (2012)—Rapid building damage assessment using EROS B data: The case study of L'Aquila earthquake. Italian Journal of Remote Sensing, 44 (1): 153–165. doi: http://dx.doi.org/10.5721/ItJRS201244112.
   Google Scholar
• Bendea H., Boccardo P., Dequal S., Giulio Tonolo F., Marenchino D., Piras M. (2008)—Low cost UAV for post-disaster assessment. In Proceedings of The XXI Congress of the International Society for Photogrammetry and Remote Sensing, Beijing (China) July 2008, pp. 3–11.
   Google Scholar
• Blaschke T., (2010)—Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65 (1): 2–16. ISSN 0924–2716.
   Web of Science ®Google Scholar
• Boccardo P. (2013)—New perspectives in emergency mapping. European Journal of Remote Sensing, 46 (1): 571–582. doi: http://dx.doi.org/10.5721/EuJRS20134633.
   Web of Science ®Google Scholar
• Brunner D., Lemoine, G., Bruzzone, L., (2010)—Earthquake damage assessment of buildings using VHR optical and SAR imagery. IEEE Transactions on Geoscience and Remote Sensing, 48 (5): 2403–2420. doi: http://dx.doi.org/10.1109/TGRS.2009.2038274.
   Web of Science ®Google Scholar
• Comune L'Aquila (2013)—Carta “esiti agibilità” (http://www.comune.laquila.it/pagina79_esiti-delle-verifiche-di-agibilita.html).
   Google Scholar
• Cracknell A.P. (1998)—Review article Synergy in remote sensing-what's in a pixel? International Journal of Remote Sensing, 19 (11): 2025–204,. doi: http://dx.doi.org/10.1080/014311698214848.
   Web of Science ®Google Scholar
• Dell'Acqua F., Bignami C., Chini M., Lisini G., Polli D., Stramondo S. (2011)—Earthquake damages rapid mapping by satellite remote sensing data: L'Aquila April 6th, 2009 event. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4 (4): 935–943. doi: http://dx.doi.org/10.1109/JSTARS.2011.2162721.
   Google Scholar
• Eisenbeiss H., Sauerbier M. (2011)—Investigation of UAV systems and flight modes for photogrammetric Applications. The Photogrammetric Record 26 (136): 400–421. doi: 10.1111/j.1477-9730.2011.00657x.
   Web of Science ®Google Scholar
• Grigillo D., Kosmatin M., Petrovic D. (2011)—Automatic extraction and building change detection from digital surface model and multispectral orthophoto. Geodetskivestnik, 55:1.
   Google Scholar
• Joyce K.E., Belliss S.E., Samsonov S.V., McNeill S.J., Glassey P. J., (2009)—A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters. Progress in Physical Geography, 33 (2): 183–207. doi. http://dx.doi.org/10.1177/0309133309339563.
   Web of Science ®Google Scholar
• Lu D., Mausel P., Brondízio E., Moran E. (2004)—Change detection techniques. International Journal of Remote Sensing, 25 (12): 236–2401. doi: http://dx.doi.org/10.1080/0143116031000139863.
   Google Scholar
• Nex F., Remondino F. (2013)—UAV for 3D mapping applications: a review. Applied Geomatics, 6 (1): 1–15. doi http://dx.doi.org/10.1007/s12518-013-0120-x.
   Google Scholar
• Padwick C., Deskevich M., Pacifici, F., Smallwood S. (2010)—WorldView-2 pan-sharpening. Proceedings American Society for Photogrammetry and Remote Sensing.
   Google Scholar
• Parente C., Santamaria R. (2013)—Increasing Geometric Resolution of Data Supplied by Quick bird Multispectral Sensors. Sensors & Transducers, 156, (9): 111–115.
   Google Scholar
• Poli D., Toutin T. (2012)—Review of developments in geometric modelling for high resolution satellitepushbroom sensors. The Photogrammetric Record, 27 (137): 58–73. doi: http://dx.doi.org/10.1111/j.1477-9730.2011.00665.x.
   Web of Science ®Google Scholar
• Singh A. (1989)—Review Article Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10 (6): 989–1003. doi: http://dx.doi.org/10.1080/01431168908903939.
   Web of Science ®Google Scholar
• Singhroy V. (1995)—SAR integrated techniques for geohazard assessment. Advances Space Rerearch., 15: 67–78. doi: http://dx.doi.org/10.1016/0273-1177(95)00076-Q.
   Google Scholar
• Terenzio F. G., Tilio L., Masini N.,. Murgante B., Potenza M.R., Zotta C. (2013)—High-Detail Damage Pattern in Towns Hit by Earthquakes of the Past: An Approach to Evaluate the Reliability of the Historical Sources. In: Bostenaru Dan M., Armas I., Goretti A. (Eds.), Earthquake Hazard Impact and Urban Planning Environmental Hazards, Springer Netherlands, pp. 105–125. doi: http://dx.doi.org/10.1007/978-94-007-7981-5_6
   Google Scholar
• Tong X.H. (2012)—Building-damage detection using pre- and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake. ISPRS Journal of Photogrammetry and Remote Sensing, 68: 13–27. doi: http://dx.doi.org/10.1016/j.isprsjprs.2011.12.004.
   Web of Science ®Google Scholar
• Tronin A.A. (2006)—Remote sensing and earthquakes: A review. Physics and Chemistry of the Earth, 31: 138–142. doi: http://dx.doi.org/10.1016/j.pce.2006.02.024.
   Web of Science ®Google Scholar
• Turker M., Cetinkaya B. (2005)—Automatic detection of earthquake-damaged buildings using DEMs created from pre- and post-earthquake stereo aerial photographs. International Journal of Remote Sensing, 26: 823–832. doi: http://dx.doi.org/10.1080/01431160512331316810.
   Web of Science ®Google Scholar
• Weidner U. (1997)—Digital surface models for building extraction. In: Gruen A., Baltsavias E., Henricsson O. (Eds), Automatic extraction of man-made objects from aerial and space images (II). Birkhauser Verlag, Basel, pp. 193–202. doi: http://dx.doi.org/10.1007/978-3-0348-8906-3_19.
   Google Scholar
• Yamazaki F. (2001)—Applications of remote sensing and GIS for damage assessment,. Structural Safety and Reliability. Corotis et al. (Eds), Swets&Zeitlinger, ISBN 90 5809 197 X.
   Google Scholar
• Zlatanova S., Li J. (2008)—Geospatial Information Technology for Emergency Response. Taylor & Francis Group, London, UK, 381 p. (ISPRS book series num. 6). ISBN 13: 978-0-415-42247-5 (hbk), ISBN 13: 987-0-203-92881-3 (ebook).
   Google Scholar