Zhao Yan, Zhang Jingfa, Yao Leihua. 2016: Seismic damage information extraction and evaluation of buildings with high resolution remote sensing based on object-oriented method. Acta Seismologica Sinica, 38(6): 942-951. DOI: 10.11939/jass.2016.06.014
Citation: Zhao Yan, Zhang Jingfa, Yao Leihua. 2016: Seismic damage information extraction and evaluation of buildings with high resolution remote sensing based on object-oriented method. Acta Seismologica Sinica, 38(6): 942-951. DOI: 10.11939/jass.2016.06.014

Seismic damage information extraction and evaluation of buildings with high resolution remote sensing based on object-oriented method

More Information
  • Received Date: January 12, 2016
  • Revised Date: May 23, 2016
  • Published Date: October 31, 2016
  • In order to rapidly determine the scope of stricken area and timely assess the extent of damages after an earthquake, this paper proposes a technical process of rapid extracting and evaluating building damage information by using the geometric structure and texture feature information of high resolution remote sensing images based on the object-oriented building detection method. The process can rapidly locate the disaster areas, which is of great significance to the post-disaster first opportunity rescue. Taking the Yushu area as an example, buildings of disaster area are extracted based on the QuickBird images before and after the Yushu earthquake, and the extraction precisions of buildings is 88. 53% and 90. 21%, respectively. The extraction accuracy of building changing information is 79. 68%, and changing area reaches 15 923. 52 m2, which accounts for 68. 16% of the entire studied area, therefore the area is evaluated as moderately-severe disaster area. The results of this paper are consistent with those of the field investigations, proving that the rapid seismic damage information extraction and evaluation process is effective. The presented method can quickly estimate the disaster areas, and provide an important reference for the first time rescue.
  • 杜凤兰, 田庆久, 夏学齐, 惠凤鸣. 2004.面向对象的地物分类法分析与评价[J].遥感技术与应用, 19 (1): 20-23. http://www.cnki.com.cn/Article/CJFDTOTAL-YGJS200401005.htm

    Du F L, Tian Q J, Xia X Q, Hui F M. 2004. Object-oriented image classification analysis and evaluation[J]. Remote Sensing Technology and Application, 19 (1): 20-23 (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-YGJS200401005.htm
    龚丽霞, 李强, 张景发, 曾琪明, 刘明众, 李成龙. 2013.面向对象的房屋震害变化检测方法[J].地震, 33 (2): 109-114. http://www.cnki.com.cn/Article/CJFDTOTAL-DIZN201302015.htm

    Gong L X, Li Q, Zhang J F, Zeng Q M, Liu M Z, Li C L. 2013. Object-oriented detection of earthquake building damages[J]. Earthquake, 33 (2): 109-114 (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-DIZN201302015.htm
    黎小东. 2009.面向对象的高空间分辨率遥感影像城市建筑物震害信息提取:以汶川县城为例[D].成都:成都理工大学地球科学学院: 36-43.

    Li X D. 2009. Information Extraction of Damaged Town Buildings Caused by Earthquake With the Object-Oriented Method From High Spatial Resolution Image: A Case Study in Wenchuan Earthquake[D]. Chengdu: College of Earth Sciences, Chengdu University of Technology: 36-43 (in Chinese).
    李小强. 2014.面向对象的高分辨率遥感影像建筑物震害信息提取研究[D].昆明:云南师范大学旅游与地理科学学院: 10-24. http://www.docin.com/p-1194166128.html

    Li X Q. 2014. Object-Oriented Method of Building Damage Extraction From High-Resolution Images[D]. Kunming: School of Tourism and Geographical Sciences, Yunnan Normal University: 10-24 (in Chinese). http://www.docin.com/p-1194166128.html
    王晓青, 窦爱霞, 孙国清, 丁香, 王龙, 袁小祥. 2013.基于综合震害指数的玉树地震烈度遥感评估研究[J].地震, 33 (2): 1-10. http://www.cnki.com.cn/Article/CJFDTOTAL-DIZN201302002.htm

    Wang X Q, Dou A X, Sun G Q, Ding X, Wang L, Yuan X X. 2013. Intensity assessment of the 2010 Yushu MS7.1 earthquake based on synthetic seismic damage index[J]. Earthquake, 33 (2): 1-10 (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-DIZN201302002.htm
    闻春晶, 赵书河, 李晖. 2010.面向对象的高分辨率遥感影像变化检测方法[J].山东师范大学学报:自然科学版, 25 (1): 126-129. http://d.wanfangdata.com.cn/Periodical/sdsdxb-zrkx201001034

    Wen C J, Zhao S H, Li H. 2010. Object-oriented change detection method using very high spatial resolution imagery[J]. Journal of Shandong Normal University: Natural Science, 25 (1): 126-129 (in Chinese). http://d.wanfangdata.com.cn/Periodical/sdsdxb-zrkx201001034
    颜洁, 刘建坡, 唐伟广. 2010.基于遥感图像变化检测的毁伤效果分析[J].信号与信息处理, 40 (4): 30-31. http://www.cnki.com.cn/Article/CJFDTOTAL-WXDG201004011.htm

    Yan J, Liu J P, Tang W G. 2010. The damage assessment based on remote sensing image change detection[J].Journal of Signal and Information Processing, 40 (4): 30-31 (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-WXDG201004011.htm
    张景发, 谢礼立, 陶夏新. 2001.典型震害遥感图像的模型分析[J].自然灾害学报, 10 (2): 89-95. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200102014.htm

    Zhang J F, Xie L L, Tao X X. 2001. Pattern analysis of remote sensing imagery for some typical earthquake damages[J]. Journal of Natural Disasters, 10 (2): 89-95 (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200102014.htm
    章毓晋. 2000.图像分割[M].北京:科学出版社: 55-70.

    Zhang Y J. 2000. Image Segmentation[M]. Beijing: Science Press: 55-70 (in Chinese).
    Huyck C K, Adams B J, Cho S, Chung H C, Eguchi R T. 2005. Towards rapid citywide damage mapping using neighborhood edge dissimilarities in very high-resolution optical satellite imagery: Application to the 2003 Bam, Iran, earthquake[J]. Earthq Spectra, 21 (S1): 255-266. doi: 10.1193/1.2101907
    Liu S C, Bruzzone L, Bovolo F, Du P J. 2015. Hierarchical unsupervised change detection in multitemporal hyperspectral images[J]. IEEE Trans Geosci Remote Sensing, 53 (1): 244-260. doi: 10.1109/TGRS.2014.2321277
    Turker M, San B T. 2004. Detection of collapsed buildings caused by the 1999 Izmit, Turkey earthquake through digital analysis of post-event aerial photographs[J]. Int J Remote Sensing, 25 (21): 4701-4714. doi: 10.1080/01431160410001709976

Catalog

    Article views (746) PDF downloads (26) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return