张小咏, 李庆亭. 2016: 基于中分辨率遥感影像的居民区震害信息提取. 地震学报, 38(3): 486-495. DOI: 10.11939/jass.2016.03.016
引用本文: 张小咏, 李庆亭. 2016: 基于中分辨率遥感影像的居民区震害信息提取. 地震学报, 38(3): 486-495. DOI: 10.11939/jass.2016.03.016
Zhang Xiaoyong, Li Qingting. 2016: Extraction of seismic damage information of the residential area based on medium-resolution remote sensing image. Acta Seismologica Sinica, 38(3): 486-495. DOI: 10.11939/jass.2016.03.016
Citation: Zhang Xiaoyong, Li Qingting. 2016: Extraction of seismic damage information of the residential area based on medium-resolution remote sensing image. Acta Seismologica Sinica, 38(3): 486-495. DOI: 10.11939/jass.2016.03.016

基于中分辨率遥感影像的居民区震害信息提取

Extraction of seismic damage information of the residential area based on medium-resolution remote sensing image

  • 摘要: 针对中分辨率遥感影像建筑物震害信息弱以及变化检测法受非震害信息影响大等弱点, 本文建立了一种基于变化检测的居民区震害信息快速提取方法. 该方法利用主成分变换增强震害信息, 采用监督分类法提取似居民区, 并用灯光影像数据进一步对似居民区提取结果进行优化, 从而很好地消除了变化检测方法中非震害因素的影响. 在此基础上, 以2001年印度MW7.6地震的极重灾区为研究区域, 利用震前、 震后Landsat卫星TM图像和震区灯光影像数据, 对本文算法进行了验证和分析. 结果表明, 在30—50 m中分辨率遥感影像上, 以建筑物为主的居民区震后图像变化最为显著的震害特征是反射率变大, 本文所建立的居民区震害信息提取方法在解决中分辨率遥感影像震害目标信息弱、 背景复杂等方面效果明显.

     

    Abstract: There are some weak spots in medium-resolution remote sensing image, such as weak information in seismic disaster of buildings and change detection method prone to be affected by non-seismic disaster information. According to those problems, this paper established a method for quickly extracting residential seismic damage information based on the change detection method, which uses principal component transform to enhance damaged information, and adopts the supervised classification method to extract the similar residential area, which were further optimized by using the nighttime lights data, eliminating the influence of non-seismic disaster factors in the change detection method. And then the meizoseismal area of India MW7.6 earthquake in 2001 is chosen as the studied area by using Landsat thematic mapper (TM) imagery pre- and post-earthquake and nighttime lights data of earthquake-stricken area so as to verify and analyze the method proposed in this paper. The results show that the reflectivity becomes larger is the the most significant damaged characteristic for the building residential area in the resolution of 30--50 m medium-resolution remote sensing image. The method for extracting residential earthquake damage information established in this paper has good effects in solving weakly damaged information and background noise based on medium-resolution images.

     

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