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机载双天线InSAR联合定标算法
引用本文:王萌萌,黄国满,花奋奋,魏钜杰,卢丽君.机载双天线InSAR联合定标算法[J].测绘学报,2014,43(12):1259-1265.
作者姓名:王萌萌  黄国满  花奋奋  魏钜杰  卢丽君
作者单位:1. 中国测绘科学研究院, 北京 100830;2. 中国矿业大学 环境与测绘学院, 江苏 徐州 221116;3. 武汉大学 测绘遥感信息工程国家重点实验室, 湖北 武汉 430079
基金项目:国家863计划主题项目
摘    要:为了提高InSAR获取DEM的精度,实际生产作业过程中每一架次均须飞临定标场,这就要求测绘人员需要多次布设角反射器.本文针对外业重复布设角反射器耗费时间和人力的问题,提出一种新的机载双天线InSAR联合干涉参数定标算法,实现了利用一次布设的控制点同时标定多架次干涉参数,减少了野外布设角反射器的工作量.该方法首先基于敏感度方程的定标方法选择适于机载双天线InSAR数据的干涉定标参数,其次将基于局部配准的配准方法和PSInSAR中PS点选取的方法首次引入高程连接点的选取中,实现了多架次同一场景的高程衔接.最后,根据控制点和连接点高程属性的差异,建立了不同的误差方程,组成联合定标模型,并利用中国测绘科学研究院的CASMSAR-X数据进行了联合定标试验,验证了该算法的正确性和有效性.

关 键 词:机载InSAR  三维重建模型  干涉定标参数  重复航迹  高程连接点  联合定标  
收稿时间:2013-12-06
修稿时间:2014-05-20

Joint Calibration Method of Airborne Dual-antenna Interferometric SAR
WANG Mengmeng,HUANG Guoman,HUA Fenfen,WEI Jujie,LU Lijun.Joint Calibration Method of Airborne Dual-antenna Interferometric SAR[J].Acta Geodaetica et Cartographica Sinica,2014,43(12):1259-1265.
Authors:WANG Mengmeng  HUANG Guoman  HUA Fenfen  WEI Jujie  LU Lijun
Institution:1. Chinese Academy of Surveying and Mapping, Beijing 100830, China;2. School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China;3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Abstract:In order to improve the accuracy of DEM acquired by InSAR, every flight should fly pass the calibration filed, which required surveyors needed to lay corner reflectors repeatedly. Because laying reflectors repeatedly outside wastes time and human resources, a new joint calibration method of airborne dual-antenna InSAR was presented. The method could calibrate interferometric system parameters of multi-flight with laying reflectors one time and reduce the outside workload. At first, the method selected interferometric calibration parameters suited for airborne dual-antenna InSAR data based on the sensitivity equations calibration method, then it brought the local registration method and PS selection method in PSInSAR to select height connection points connected height data with multi-flight data in same area. Finally, it established respective error equations according to the height attribute difference between control points and connection points and formed joint calibration model using the above equations, after that, this paper proved the correctness and effectiveness of the new algorithm with CASMSAR-X data of China Surveying and Mapping Academy.
Keywords:airborne InSAR  3D construction model  interferometric calibration parameters  repeat-pass  height connection point  joint calibration
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