电子学报2012，Vol.40Issue(6)：1086-1091,6.DOI:10.3969/j.issn.0372-2112.2012.06.003
基于模型的单幅高分辨SAR图像建筑物高度反演方法
Model-Based Building Height Retrieval from Single HR SAR Image
摘要
Abstract
With the development of high resolution (HR) synthetic aperture radar (SAR) imaging, the technology of building 3D information extraction from SAR images is becoming an important issue in radar remote sensing. In order to retrieve building height information from single HR SAR image, a model-based height estimation approach is proposed. An orthographic projection model is established to achieve the quick generation of the model hypothesis. A segmentation-based likelihood function is derived to examine the consistency between the model hypothesis and the actual SAR image. The hypothesis test procedure, which is iterated with the simulated annealing algorithm, is designed to optimize the hypothesis from the high dimensional model space. The experimental results using both of the simulated and actual airborne SAR images show the effectiveness of the proposed method.关键词
高分辨SAR图像/建筑物高度估计/三维几何参数模型/投影模型/似然函数Key words
high resolution synthetic aperture radar image/ building height retrieval/ 3D geometric parameterized model/ projection model/ likelihood function分类
信息技术与安全科学引用本文复制引用
蒋李兵,王壮,雷琳,郭炜炜,郁文贤..基于模型的单幅高分辨SAR图像建筑物高度反演方法[J].电子学报,2012,40(6):1086-1091,6.基金项目
航天支撑技术基金 （）
