分析了高分辨SAR图像中受遮挡建筑物的特点,提出了一种针对遮挡情况建筑物的高度估计方法。该方法基于模型迭代匹配的思想,将一系列高度参数假设依所提构建的计算模型变换为特征信号并与SAR图像进行匹配,使似然函数达到最大的高度假设为待估计的遮挡建筑物高度。基于仿真和实测SAR数据的实验结果表明,和已有方法相比,所提方法可以更准确地实现对部分被遮挡建筑物的高度估计。
Based on the analysis of occluded buildings in high resolution SAR images, a novel method for occluded building height estimation was proposed. First, a projection model for SAR building signature prediction from a 3D pa rametric model was constructed. Second, a likelihood function for SAR building signature evaluation was formulated. Finally, the parametric models with different height parameters were evaluated with the actual SAR image by the likeli hood function. The estimated building height corresponded to the parametric model which reached a maximum likelihood value. Comparative experimental results show that the proposed method is more effective in estimating building height even under partial occlusion.