Detection and Evaluation of Building Damages in Earthquake from VHR Optical and SAR Images Using Multiple Mutual Information Techniques
How to make data/information fusion using all-weather and all-time SAR(synthetic aperture radar)technology with other optical/IR images is of great important for remote sensing applications.In this paper,a fusion approach using very high resolution(VHR)pre-event optical image and post-event SAR image is presented for detection and evaluation of building damages after earthquake.Some SAR images of the building objects are first numerically simulated using the mapping and projection algorithm(MPA)based on the parameters extracted from the optical image.These images are employed for similarity analysis with real SAR image of the building objects using multiple mutual information(M-MI),i.e.,normalized MI(NMI),gradient MI(GMI)and regional MI(RMI).Based on the similarity results of the mean,maximum and height deviation of M-MI,the building damages can be detected and evaluated under the situations of collapsed,subsided or deformed.As an example,the optical images of Ikonos and Geo-Eye of pre-event and post-event,respectively,and SAR images of Cosmo-Skymed and Radarsat-2 of post-event during Haiti earthquake 2000 are applied in the M-MI approach and analysis.
Tian-Lin Wang Ya-Qiu Jin
Key Laboratory of Wave Scattering and Remote Sensing Information(MoE)Fudan University,Shanghai 200433,China
国际会议
Progress in Electromagnetics Research Symposium 2011(2011年电磁学研究新进展学术研讨会)
苏州
英文
40-43
2011-09-01（万方平台首次上网日期，不代表论文的发表时间）