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地面建筑物破坏状态检测的多类互信息量评估—震灾前光学图像与震灾后SAR图像的融合
引用本文:王天临,金亚秋.地面建筑物破坏状态检测的多类互信息量评估—震灾前光学图像与震灾后SAR图像的融合[J].遥感学报,2012,16(2):248-261.
作者姓名:王天临  金亚秋
作者单位:复旦大学波散射和遥感信息教育部重点实验室, 上海 200433;复旦大学波散射和遥感信息教育部重点实验室, 上海 200433
基金项目: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。

关 键 词:地震灾害  光学与SAR遥感  互信息量  建筑物变化检测
收稿时间:3/9/2011 12:00:00 AM
修稿时间:2011/6/16 0:00:00

Evaluation of multiple mutual information for building damages afterearthquake using pre-event optical image and post-event SAR image
WANG Tianlin and JIN Yaqiu.Evaluation of multiple mutual information for building damages afterearthquake using pre-event optical image and post-event SAR image[J].Journal of Remote Sensing,2012,16(2):248-261.
Authors:WANG Tianlin and JIN Yaqiu
Institution:Key Laboratory of Wave Scattering and Remote Sensing Information (MOE)Fudan University, Shanghai 200433, China;Key Laboratory of Wave Scattering and Remote Sensing Information (MOE)Fudan University, Shanghai 200433, China
Abstract:Quick and accurate evaluation of the building damages after earthquake in urban area is a critical issue for timely assessingthe disaster situation and effectively carrying out rescue mission. Very High Resolution (VHR) optical image is usuallya direct way to visually monitor natural disaster occurrence. However, under some serious situations, such as bad weather or difficultgeographic conditions, the post-event VHR optical image is not always available over large areas. All day and all weatherspace-borne Synthetic Aperture Radar (SAR) in operation can provide the reliable and high quality images over a large area. Ofcourse, the relationship between optical image and SAR image is not simply a one-to-one visual correspondence. Microwavescattering and penetration through terrain media, and image speckles of SAR observation with a certain resolution are differentfrom VHR optical imaging. How to make fusion of VHR optical and SAR images under different pre-event and post-event situationscan provide a useful and operational approach to make timely and accurate evaluation of earthquake losses.
Keywords:earthquake  optical and SAR remote sensing  mutual information  detection of building damages
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