Extraction of earthquake-induced collapsed buildings using very high-resolution imagery and airborne lidar data

References

• Adams, B. J., C. K. Huyck, B. Mansouri, R. T. Eguchi, and M. Shinozuka. 2004. “Application of High-Resolution Optical Satellite Imagery for Post-Earthquake Damage Assessment: The 2003 Boumerdes (Algeria) and Bam (Iran) Earthquakes.” In Research Progress and Accomplishments 2003–2004, edited by J. E. Stoyle, 173–186. Buffalo, NY: Multidisciplinary Center for Earthquake Engineering Research (MCEER) Press. http://mceer.buffalo.edu/publications/resaccom/04-sp01/12_eguchi.pdf
   Google Scholar
• AL-Khudhairy, D. H. A., I. Caravaggi, and S. Giada. 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:10.14358/PERS.71.7.825.
   Web of Science ®Google Scholar
• Awrangjeb, M., M. Ravanbakhsh, and C. S. Fraser. 2010. “Automatic Detection of Residential Buildings Using LIDAR data and Multispectral Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 65 (5): 457–467. doi:10.1016/j.isprsjprs.2010.06.001.
   Web of Science ®Google Scholar
• Baatz, M., and A. Shäpe. 2000. “Multiresolution Segmentation-an Optimization Approach for High Quality Multi-scale Image Segmentation.” In Angewandte Geographische Informationsverarbeitung XII, edited by J. Strobl, T. Blaschke, and G. Griesebner, 12–23. Beiträge zum AGIT-Symposium Salzburg 2000. Heidelberg: Wichmann.
   Google Scholar
• Bilham, R. 2010. “Lessons from the Haiti Earthquake.” Nature 463: 878–879. doi:10.1038/463878a.
   PubMed Web of Science ®Google Scholar
• Brunner, D., G. Lemoine, and L. Bruzzone. 2010. “Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery.” IEEE Transactions On Geoscience And Remote Sensing 48 (5): 2403–2420. doi:10.1109/TGRS.2009.2038274.
   Web of Science ®Google Scholar
• Chen, Y., D. Wen, L. Jing, and P. Shi. 2007. “Shadow Information Recovery in Urban Areas from Very High Resolution Satellite Imagery.” International Journal of Remote Sensing 28 (15): 3249–3254. doi:10.1080/01431160600954621.
   Web of Science ®Google Scholar
• Chica-Olmo, M., and F. Abarca-Hernández. 2000. “Computing Geostatistical Image Texture for Remotely Sensed Data Classification.” Computers & Geosciences 26 (4): 373–383. doi:10.1016/S0098-3004(99)00118-1.
   Web of Science ®Google Scholar
• Chini, M., N. Pierdicca, and W. J. Emery. 2009. “Exploiting SAR and VHR Optical Images to Quantify Damage Caused by the 2003 Bam Earthquake.” IEEE Transactions on Geoscience and Remote Sensing 47 (1): 145–152. doi:10.1109/TGRS.2008.2002695.
   Web of Science ®Google Scholar
• Chiroiu, L., G. Andre, R. Guillande, and F. Bahoken. 2002. “Earthquake Damage Assessment Using High-resolution Satellite Imagery.” Proceedings of 7th US National Conference on Earthquake Engineering (CD-ROM), Boston, MA, July 21–25.
   Google Scholar
• Corbane, C., K. Saito, L. Dell’oro, E. Bjorgo, S. P. D. Gill, B. E. Piard, C. K. Huyck, T. Kemper, G. Lemoine, R. J. S. Spence, R. Shankar, O. Senegas, F. Ghesquiere, D. Lallemant, G. B. Evans, R. A. Gartley, J. Toro, S. Ghosh, W. D. Svekla, B. J. Adams, and R. T. Eguchi. 2011. “A Comprehensive Analysis of Building Damage in the 12 January 2010 Mw7 Haiti Earthquake Using High-Resolution Satellite and Aerial Imagery.” Photogrammetric Engineering & Remote Sensing 77 (10): 997–1009. doi:10.14358/PERS.77.10.0997.
   Web of Science ®Google Scholar
• Dare, P. M. 2005. “Shadow Analysis in High-resolution Satellite Imagery of Urban Areas.” Photogrammetric Engineering & Remote Sensing 71 (2): 169–177. doi:10.14358/PERS.71.2.169.
   Web of Science ®Google Scholar
• Eguchi, R. T., C. K. Huyck, B. J. Adams, B. Mansouri, B. Houshmand, and M. Shinozuka. 2003. “Resilient Disaster Response Using Remote Sensing Technologies for Post-disaster Damage Detection.” In Research Progress and Accomplishments 2001–2003, edited by J. E. Stoyle, 125–138. Buffalo, NY: Multidisciplinary Center for Earthquake Engineering Research (MCEER) Press. http://www.mceer.buffalo.edu/publications/resaccom/03-sp01/09eguchi.pdf
   Google Scholar
• Ferro, C. J. S., and T. A. Warner. 2002. “Scale and Texture in Digital Image Classification.” Photogrammetric Engineering and Remote Sensing 68 (1): 51–63. http://asprs.org/a/publications/pers/2002journal/january/2002_jan_51-63.pdf
   Web of Science ®Google Scholar
• Gamba, P., and F. Casciati. 1998. “GIS and Image Understanding for Near-real-time Earthquake Damage Assessment.” Photogrammetric Engineering and Remote Sensing 64 (10): 987–994. http://www.asprs.org/a/publications/pers/98journal/october/1998_oct_987-994.pdf
   Web of Science ®Google Scholar
• Gong, J., D. Wang, Y. Li, L. Zhang, Y. Yue, J. Zhou, and Y. Song. 2010. “Earthquake-induced Geological Hazards Detection under Hierarchical Stripping Classification Framework in the Beichuan Area.” Landslides 7 (2): 181–189. doi:10.1007/s10346-010-0201-4.
   Web of Science ®Google Scholar
• Guo, T., and Y. Yasuoka. 2002. “Snake-based Approach for Building Extraction from High-resolution Satellite Images and Height Data in Urban Areas.” In Proceeding of the 23rd Asian Conference on Remote Sensing (CD-ROM), Kathmandu, November 25–29, 7.
   Google Scholar
• Gusella, L., B. J. Adams, G. Bitelli, C. K. Huyck, and A. Mognol. 2005. “Object-oriented Image Understanding and Post-earthquake Damage Assessment for the 2003 Bam, Iran, Earthquake.” Earthquake Spectra 21 (S1): 225–238. doi:10.1193/1.2098629.
   Web of Science ®Google Scholar
• Haala, N., and C. Brenner. 1999. “Extraction of Buildings and Trees in Urban Environments.” ISPRS Journal of Photogrammetry and Remote Sensing 54(2–3): 130–137. doi:10.1016/S0924-2716(99)00010-6.
   Web of Science ®Google Scholar
• Hermosilla, T., L. A. Ruiz, J. A. Recio, and J. Estornell. 2011. “Evaluation of Automatic Building Detection Approaches Combining High Resolution Images and LiDAR Data.” Remote Sensing 3 (6): 1188–1210. doi:10.3390/rs3061188.
   Web of Science ®Google Scholar
• Hussain, E., S. Ural, K. Kim, C.-S. Fu, and J. Shan. 2011. “Building Extraction and Rubble Mapping for City Port-au-Prince Post-2010 Earthquake with GeoEye-1 Imagery and LiDAR Data.” Photogrammetric Engineering & Remote Sensing 77 (10): 1011–1023. doi:10.14358/PERS.77.10.1011.
   Web of Science ®Google Scholar
• Huyck, C. K., B. J. Adams, S. Cho, H. Chung, and R. T. Eguchi. 2005. “Towards Rapid Citywide Damage Mapping Using Neighborhood Edge Dissimilarities in Very High-Resolution Optical Satellite Imagery—Application to the 2003 Bam, Iran, Earthquake.” Earthquake Spectra 21 (S1): S255–S266. doi:10.1193/1.2101907.
   Web of Science ®Google Scholar
• Huyck, C. K., B. Mansouri, R. T. Eguchi, B. Houshmand, L. L. Castner, and M. Shinozuka. 2002. “Earthquake Damage Detection Algorithms Using Optical and ERS-SAR Satellite Data Application to the August 17, 1999 Marmara, Turkey, Earthquake.” Proceedings of 7th US National Conference on Earthquake Engineering (CD-ROM), Boston, MA, July 21–25.
   Google Scholar
• ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). 2010. “Haiti Port-au-Prince Damage Assessment as of 13/10/2010 (based on GeoEye satellite image).” Accessed January 20. http://www.ithacaweb.org/media/maps/ITHACA_Port_au_prince_DamagesAssessment_PreliminaryAnalys_GeoEyeoverlay_v3_low.jpg and http://www.ithacaweb.org/media/maps/ITHACA_Port_au_prince_DamagesAssessment_PreliminaryAnalys_GeoEye_v1.jpg
   Google Scholar
• Klonus, S., D. Tomowski, M. Ehlers, P. Reinartz, and U. Michel. 2012. “Combined Edge Segment Texture Analysis for the Detection of Damaged Buildings in Crisis Areas.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5 (4): 1118–1128. doi:10.1109/JSTARS.2012.2205559.
   Web of Science ®Google Scholar
• Laben, C. A., and B. V. Brower. 2000. Process for Enhancing the Spatial Resolution of Multispectral Imagery Using Pan-sharpening. US Patent 6011875, filed January 4. Accessed Jan 20. http://www.freepatentsonline.com/6011875.html
   Google Scholar
• Landis, J. R., and G. G. Koch. 1977. “The Measurement of Observer Agreement for Categorical Data.” Biometrics 33 (1): 159–174. doi:10.2307/2529310.
   PubMed Web of Science ®Google Scholar
• Li, P., T. Cheng, and J. Guo. 2009. “Multivariate Image Texture by Multivariate Variogram for Multispectral Image Classification.” Photogrammetric Engineering & Remote Sensing 75 (2): 147–157. doi:10.14358/PERS.75.2.147.
   Web of Science ®Google Scholar
• Li, P., J. Guo, B. Song, and X. Xiao. 2011. “A Multilevel Hierarchical Image Segmentation Method for Urban Impervious Surface Mapping Using Very High Resolution Imagery.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4 (1): 103–116. doi:10.1109/JSTARS.2010.2074186.
   Web of Science ®Google Scholar
• Li, P., B. Song, and H. Xu. 2011. “Urban Building Damage Detection from Very High Imagery by One-class SVM and Shadow Information.” In Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, July 24–29, 1409–1412. doi:10.1109/IGARSS.2011.6049330.
   Google Scholar
• Li, P., and H. Xu. 2010. “Land Cover Change Detection Using One-class Support Vector Machine.” Photogrammetric Engineering & Remote Sensing 76 (3): 255–263. doi:10.14358/PERS.76.3.255.
   Web of Science ®Google Scholar
• Li, P., H. Xu, and J. Guo. 2010. “Urban Building Damage Detection from Very High Resolution Imagery Using OCSVM and Spatial Features.” International Journal of Remote Sensing 31 (13): 3393–3409. doi:10.1080/01431161003727705.
   Web of Science ®Google Scholar
• Li, P., H. Xu, and B. Song. 2011. “A Novel Method for Urban Road Damage Detection Using Very High Resolution Satellite Imagery and Road Map.” Photogrammetric Engineering & Remote Sensing 77 (10): 1057–1066. doi:10.14358/PERS.77.10.1057.
   Web of Science ®Google Scholar
• Malinverni, E. S. 2011. “Change Detection Applying Landscape Metrics on High Remote Sensing Images.” Photogrammetric Engineering & Remote Sensing 77 (10): 1045–1056. doi:10.14358/PERS.77.10.1045.
   Web of Science ®Google Scholar
• Matsumoto, K., T. T. Vu, and F. Yamazaki. 2006. “Extraction of Damaged Buildings Using High Resolution Satellite Images in the 2006 Central Java Earthquake.” Proceedings of 27th Asian Conference on Remote Sensing (ACRS2006), Ulaanbaatar, October 9–13.
   Google Scholar
• Munoz-Mari, J., L. Bruzzone, and G. Camps-Valls. 2007. “A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images.” IEEE Transactions on Geoscience and Remote Sensing 45 (8): 2683–2692. doi:10.1109/TGRS.2007.897425.
   Web of Science ®Google Scholar
• Pagot, E., and M. Pesaresi. 2008. “Systematic Study of the Urban Postconflict Change Classification Performance Using Spectral and Structural Features in a Support Vector Machine.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1 (2): 120–128. doi:10.1109/JSTARS.2008.2001154.
   Web of Science ®Google Scholar
• Pesaresi, M., A. Gerhardinger, and F. Kayitakire. 2008. “A Robust Built-up Area Presence Index by Anisotropic Rotation-invariant Textural Measure.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1 (3): 180–192. doi:10.1109/JSTARS.2008.2002869.
   Web of Science ®Google Scholar
• Rathje, E. M., M. Crawford, K. Woo, and A. Neuenschwander. 2005. “Damage Patterns from Satellite Images of the 2003 Bam, Iran, Earthquake.” Earthquake Spectra 21 (S1): 295–307. doi:10.1193/1.2101047.
   Web of Science ®Google Scholar
• Rottensteiner, F., J. Trinder, S. Clode, and K. Kubik. 2005. “Using the Dempster–Shafer Method for the Fusion of LiDAR Data and Multi-spectral Images for Building Detection.” Information Fusion 6 (4): 283–300. doi:10.1016/j.inffus.2004.06.004.
   Google Scholar
• Saito, K., and R. Spence. 2004. “Rapid Damage Mapping Using Post-earthquake Satellite Images.” In Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium, Vol. 4, Anchorage, AK, September 20–24, 2272–2275. doi:10.1109/IGARSS.2004.1369737.
   Google Scholar
• Sanchez-Hernandez, C., D. S. Boyd, and G. M. Foody. 2007. “One-class Classification for Mapping a Specific Land-cover Class: SVDD Classification of Fenland.” IEEE Transactions on Geoscience and Remote Sensing 45 (4): 1061–1073. doi:10.1109/TGRS.2006.890414.
   Web of Science ®Google Scholar
• Schölkopf, B., J. C. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson. 2001. “Estimating the Support of a High-Dimensional Distribution.” Neural Computation 13 (7): 1443–1471. doi:10.1162/089976601750264965.
   PubMed Web of Science ®Google Scholar
• Sertel, E., S. Kaya, and P. J. Curran. 2007. “Use of Semivariograms to Identify Earthquake Damage in an Urban Area.” IEEE Transactions on Geoscience and Remote Sensing 45 (6): 1590–1594. doi:10.1109/TGRS.2007.894019.
   Web of Science ®Google Scholar
• Shettigara, V. K., and G. M. Sumerling. 1998. “Height Determination of Extended Objects Using Shadows in SPOT Images.” Photogrammetric Engineering and Remote Sensing 64 (1): 35−44. http://asprs.org/a/publications/pers/98journal/january/1998_jan_35-44.pdf
   Web of Science ®Google Scholar
• Shu, J. S., and H. Freeman. 1990. “Cloud Shadow Removal from Aerial Photographs.” Pattern Recognition 23 (6): 647–656. doi:10.1016/0031-3203(90)90040-R.
   Web of Science ®Google Scholar
• Singh, R. P., W. Mehdi, and M. Sharma. 2010. “Complementary Nature of Surface and Atmospheric Parameters Associated with Haiti Earthquake of 12 January 2010.” Natural Hazards and Earth System Science 10 (6): 1299–1305. doi:10.5194/nhess-10-1299-2010.
   Web of Science ®Google Scholar
• Sohn, G., and I. Dowman. 2007. “Data Fusion of High-resolution Satellite Imagery and LiDAR Data for Automatic Building Extraction.” ISPRS Journal of Photogrammetry and Remote Sensing 62 (1): 43–63. doi:10.1016/j.isprsjprs.2007.01.001.
   Web of Science ®Google Scholar
• Soille, P. 2003. Morphological Image Analysis: Principles and Applications. 2nd ed. Berlin: Springer.
   Google Scholar
• Song, J., X. Wang, and P. Li. 2012. “Urban Building Damage Detection from VHR Imagery by including Temporal and Spatial Texture Features.” Journal of Remote Sensing 16 (6): 1233–1245. doi:10.11834/jrs.20121277.
   Google Scholar
• Tax, D. M. J., and R. P. W. Duin. 1999. “Support Vector Domain Description.” Pattern Recognition Letters 20 (11–13): 1191–1199. doi:10.1016/S0167-8655(99)00087-2.
   Web of Science ®Google Scholar
• Tong, X., X. Lin, T. Feng, H. Xie, S. Liu, Z. Hong, and P. Chen. 2013. “Use of Shadows for Detection of Earthquake-induced Collapsed Buildings in High-resolution Satellite Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 79: 53–67. doi:10.1016/j.isprsjprs.2013.01.012.
   Web of Science ®Google Scholar
• Turker, M., and B. Cetinkaya. 2005. “Automatic Detection of Earthquake-damaged Buildings using DEMs created from Pre- and Post-earthquake Stereo Aerial Photographs.” International Journal of Remote Sensing 26 (4): 823–832. doi:10.1080/01431160512331316810.
   Web of Science ®Google Scholar
• Turker, M., and B. T. San. 2004. “Detection of Collapsed Buildings caused by the 1999 Izmit, Turkey Earthquake through Digital Analysis of Post-event Aerial Photographs.” International Journal of Remote Sensing 25 (21): 4701–4714. doi:10.1080/01431160410001709976.
   Web of Science ®Google Scholar
• Turker, M., and E. Sumer. 2008. “Building-based Damage Detection due to Earthquake Using the Watershed Segmentation of the Post-event Aerial Images.” International Journal of Remote Sensing 29 (11): 3073–3089. doi:10.1080/01431160701442096.
   Web of Science ®Google Scholar
• Vu, T. T., F. Yamazaki, and M. Matsuoka. 2009. “Multi-scale Solution for Building Extraction from LiDAR and Image Data.” International Journal of Applied Earth Observation and Geoinformation 11 (4): 281–289. doi:10.1016/j.jag.2009.03.005.
   Web of Science ®Google Scholar
• Yamazaki, F., T. T. Vu, and M. Matsuoka. 2007. “Context-based Detection of Post-disaster Damaged Buildings in Urban Areas from Satellite Images.” In Urban Remote Sensing Joint Event, Paris, April 11–13, 1–5. doi:10.1109/URS.2007.371869.
   Google Scholar
• Yamazaki, F., Y. Yano, and M. Matsuoka. 2005. “Visual Damage Interpretation of Buildings in Bam City using QuickBird Images following the 2003 Bam, Iran, Earthquake.” Earthquake Spectra 21 (S1): 329–336. doi:10.1193/1.2101807.
   Web of Science ®Google Scholar
• Zhou, W., G. Huang, A. Troy, and M. L. Cadenasso. 2009. “Object-based Land Cover Classification of Shaded Areas in High Spatial Resolution Imagery of Urban Areas: A Comparison Study.” Remote Sensing of Environment 113 (8): 1769–1777. doi:10.1016/j.rse.2009.04.007.
   Web of Science ®Google Scholar