Orientation of Spaceborne SAR Stereo Pairs Employing the RPC Adjustment Model
Orientation of Spaceborne SAR Stereo Pairs Employing the RPC Adjustment Model
复制标题
采用 RPC 调整模型的星载 SAR 立体对的定向
DOI：
10.1109/tgrs.2011.2107559
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发表时间：
2011-07-01
影响因子：
8.2
通讯作者：
Zhai, Liang
中科院分区：
文献类型：
--
作者：
Zhang, Guo;Li, Zhen;Zhai, Liang
由于采用有理多项式系数（RPC）调整模型作为高分辨率光学卫星图像的首选传感器方位模型，它已被证明是有效的和强大的。然而，没有出版物讨论的应用程序的RPC调整模型的3-D交叉从SAR立体对。本文旨在验证星载SAR立体定向的RPC平差模型。首先，简要总结了RPC模型的数学背景。然后，分析了SAR方位误差，即方位参数，具有相同的净效应的物像关系，并合并成一个单一的调整参数。然后讨论了所需的调整，并概述了调整模式的制定。最后，一些设计的调整实验控制通过良好的调查角反射器和现有的数字高程模型，加上数字正射影像图的比例尺为1：10 000。本文利用TerraSAR-X、地中海盆地观测小卫星星座（COSMO-SkyMed）和SPOT-5卫星在广州地区的多传感器图像作为试验数据。结果表明，该方法可普遍应用于不同成像系统或组合数据的立体融合，并能获得较高的定位精度。
Since the adoption of the rational polynomial coefficient (RPC) adjustment model as a preferred sensor orientation model for high-resolution optical satellite imagery, it has been demonstrated to be effective and robust. However, no publication discusses the application of the RPC adjustment model to the 3-D intersection from SAR stereoscopic pairs. This paper aims to validate the RPC adjustment model for spaceborne SAR stereoscopic orientation. Initially, a brief summary of the mathematical background of the RPC model is presented. Then, the SAR orientation errors are analyzed, namely, the orientation parameters, having the same net effect on the object-image relationship, and combined into a single adjustment parameter. The required adjustment is then discussed, and the formulation of the adjustment model is outlined. Finally, a number of designed adjustment experiments controlled via well-surveyed corner reflectors and an existing digital elevation model plus a digital orthophotograph map at the scale of 1: 10 000 are performed. Multisensor images of TerraSAR-X, COnstellation of small Satellites for the Mediterranean basin Observation (COSMO-SkyMed), and Satellite Pour l'Observation de la Terre-5 (SPOT-5) over the Guangzhou area are used as test data. The results demonstrate that the proposed method can be generally applied to different imaging systems or the stereoscopic fusion of combined data and can achieve high orientation accuracy.