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国土资源遥感  2017, Vol. 29 Issue (2): 37-45    DOI: 10.6046/gtzyyg.2017.02.06
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
基于后向散射模型的多极化SAR影像建筑物高度提取
王世新1, 田野1, 2, 周艺1, 刘文亮1, 林晨曦1, 2
1.中国科学院遥感与数字地球研究所,北京 100094;
2.中国科学院大学,北京 100049
Building height extraction from multi-polarization SAR imagery based on backscattering model
WANG Shixin1, TIAN Ye1, 2, ZHOU Yi1, LIU Wenliang1, LIN Chenxi1, 2
1. Institute of Remote Sensing and Digital Earth, CAS, Beijing 100094, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
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摘要 

以Radarsat-2为例,提出了一种利用多极化SAR影像并结合后向散射模型提取建筑物高度的方法。以北京城区为实验区,首先,分析了SAR影像中建筑物二次散射所对应的亮线连通区域,并统计出该区域对雷达后向散射截面的贡献量; 然后,基于平行六面体假设,将建筑物主长度及其与雷达方位向的夹角定量化,并给出计算不同极化散射矢量的方法; 最后,利用几何光学-物理光学(geometrical optics-physical optics,GO-PO)模型一阶近似解的后向散射模型估计建筑物高度,并通过比较多个局部训练区提取结果,探讨不同极化信息的提取效果并给出最优极化组合。实验结果表明,通过极化特征组合比仅利用单极化信息提取建筑物高度的精度更高,81.43%建筑物误差小于5 m,均方根误差4.45 m,与ASTER GDEM相关系数为0.909 5,提取结果可靠。

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关键词 加速鲁棒性特征(SURF)分块策略相对距离理论图像配准    
Abstract

With Radarsat-2 as an example, a method of building height extraction from multi-polarization SAR imagery was proposed based on backscattering model. First, the connected component of double- scattering of the buildings in the image was analyzed and its contribution to radar cross section was got simultaneously, which was a case study in urban areas of Beijing. Second, different polarization-scattering vectors were calculated based on parallelepiped- assumption, which was supported by quantifying buildings’ correlation length and the angle between radar’s azimuth and buildings’ main direction. Finally, optimal polarized combination was utilized, which was extracted by using backscattering model from the solution of geometrical optics-physical optics(Go-Po)first-order approximation and comparing the results from different regionally training areas at the same time. The experimental results show that optimal polarized combination produces much less errors than single-polarization imagery in extracting the height of entire experimental area, with 81.43% of buildings having errors less than 5 meters, root mean square error being 4.45, and correlation coefficient with ASTER GDEM being 0.909 5, which proves that the result in height extraction is reliable.

Key wordsspeeded-up robust features(SURF)    blocking strategy    relative distance theory    image registration
收稿日期: 2015-11-11      出版日期: 2017-05-03
基金资助:

国家高分辨率对地观测系统重大专项项目(编号: 00-Y30B14-9001-14/16-1、00-Y30B15-9001-14/16-1和00-Y30B14-9001-14/16-2)共同资助

通讯作者: 田 野(1992-),男,硕士研究生,主要研究方向为城市遥感应用。Email: tianye01@radi.ac.cn
作者简介: 王世新(1964-),男,研究员,博士生导师,主要从事灾害与环境遥感科学方面的研究。Email: wsx@irsa.ac.cn。
引用本文:   
王世新, 田野, 周艺, 刘文亮, 林晨曦. 基于后向散射模型的多极化SAR影像建筑物高度提取[J]. 国土资源遥感, 2017, 29(2): 37-45.
WANG Shixin, TIAN Ye, ZHOU Yi, LIU Wenliang, LIN Chenxi. Building height extraction from multi-polarization SAR imagery based on backscattering model. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 37-45.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2017.02.06      或      https://www.gtzyyg.com/CN/Y2017/V29/I2/37

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