通信学报 ›› 2013, Vol. 34 ›› Issue (3): 68-75.doi: 10.3969/j.issn.1000-436x.2013.03.008

• 学术论文 • 上一篇    下一篇

基于模型迭代匹配的单幅高分辨SAR图像遮挡建筑物高度估计方法

蒋李兵1,王壮1,雷琳1,郁文贤2   

  1. 1 国防科学技术大学 ATR重点实验室,湖南 长沙410073
    2 上海交通大学 电子信息与电气工程学院,上海200240
  • 出版日期:2013-03-25 发布日期:2017-07-20
  • 基金资助:
    国家自然科学基金资助项目

Occluded building height estimation from single HR SAR image based on an iterative model matching technique

Li-bing JIANG1,Zhuang WANG1,Lin LEI1,Wen-xian YU2   

  1. 1 ATR Key Lab, National University of Defense Techno gy, Changsha 410073, China
    2 School of Electronic, Information and Electrical En ineering, Shanghai Jiaotong University, Shanghai 200240, China
  • Online:2013-03-25 Published:2017-07-20
  • Supported by:
    The National Natural Science Foundation of China

摘要:

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。

关键词: 高分辨SAR图像, 建筑物高度估计, 局部遮挡, 建筑物特征信号, 似然函数

Abstract:

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 likelih-ood 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.

Key words: HR SAR image, building height estimation, partial occlusion, SAR building signature, likelihood function

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