Acta Geodaetica et Cartographica Sinica ›› 2014, Vol. 43 ›› Issue (12): 1259-1265.doi: 10.13485/j.cnki.11-2089.2014.0139

Previous Articles     Next Articles

Joint Calibration Method of Airborne Dual-antenna Interferometric SAR

WANG Mengmeng1, HUANG Guoman1, HUA Fenfen1,2, WEI Jujie1,3, LU Lijun1   

  1. 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
  • Received:2013-12-06 Revised:2014-05-20 Online:2014-12-20 Published:2014-12-23

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.

Key words: airborne InSAR, 3D construction model, interferometric calibration parameters, repeat-pass, height connection point, joint calibration

CLC Number: