地面建筑物破坏状态检测的多类互信息量评估——震前光学图像与震后SAR图像的融合  

Evaluation of multiple mutual information for building damages after earthquake using pre-event optical image and post-event SAR image

作　　者：王天临[1] 金亚秋[1] 

机构地区：[1]复旦大学波散射和遥感信息教育部重点实验室,上海200433

出　　处：《遥感学报》2012年第2期248-261,共14页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金项目(编号:60971091;41071219);遥感科学国家重点实验室(编号:2009KFJJ011)~~

摘　　要：利用震前可具备的光学图像与震后卫星SAR图像的信息融合,可检测与评估震灾区地表面建筑物破坏状态。本文根据震前光学图像的建筑物特征参数,通过SAR成像仿真算法,模拟各建筑物SAR图像,根据震后SAR真实图像与SAR仿真图像互信息量的比较,综合利用归一化互信息量、梯度互信息量、区域互信息量及检测与评估建筑物破坏状态。采用2010年海地地震灾前的IKONOS光学图像、灾后COSMO-SkyMed与RADARSAT-2的星载SAR图像,进行震后建筑物破坏状态检测与评估。其结果与震后GeoEye光学图像进行了验证,证明了本文方法的可行性。Quick and accurate evaluation of the building damages after earthquake in urban area is a critical issue for timely as- sessing the disaster situation and effectively carrying out rescue mission. Very High Resolution （VHR） optical image is usually a direct way to visually monitor natural disaster occurrence. However, under some serious situations, such as bad weather or dif- ficult geographic conditions, the post-event VHR optical image is not always available over large areas. All day and all weather space-borne Synthetic Aperture Radar （SAR） in operation can provide the reliable and high quality images over a large area. Of course, the relationship between optical image and SAR image is not simply a one-to-one visual correspondence. Microwave scattering and penetration through terrain media, and image speckles of SAR obscrvation with a certain resolution are different from VHR optical imaging. How to make fusion of VHR optical and SAR images under different pre-event and post-event situa- tions can provide a useful and operational approach to make timely and accurate evaluation of earthquake losses.

关 键 词：地震灾害 光学与SAR遥感 互信息量 建筑物变化检测 

分 类 号：TU746[建筑科学—建筑技术科学]