Journal of Geodesy and Geoinformation Science ›› 2019, Vol. 2 ›› Issue (2): 27-37.doi: 10.11947/j.JGGS.2019.0204

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Research on Key Technologies of Precise InSAR Surveying and Mapping Applications Using Automatic SAR Imaging

Xinming TANG,Tao LI(),Xiaoming GAO,Qianfu CHEN,Xiang ZHANG   

  1. Satellite Surveying and Mapping Application Centre, National Administration of Surveying Mapping and Geoinformation, Beijing 100048, China
  • Received:2018-12-01 Accepted:2019-02-09 Online:2019-06-20 Published:2020-03-20
  • Contact: Tao LI E-mail:lit@sasmac.cn
  • About author:Xinming TANG(1966—), male, PhD, research fellow, PhD supervisor, majors in space photogrammetry, surveying and mapping.E?mail: tangxinming99@qq.com
  • Supported by:
    The National Key Research and Development Programme of China(2017YFB0502700);The Civilian Space Programme of China(D010102);The National Basic Surveying and Mapping Science and Technology Plan(2016KJ0204);The National Basic Surveying and Mapping Science and Technology Plan(2017KJ0204);The Non Profit Industry Research Subject(201512022);The Independent Investment Projects of State Power Economic Research Institute “Research on SAR and Optical Image Fusion and Application in Power Engineering”

Abstract:

Precise interferometric synthetic aperture radar (InSAR) is a new intelligent photogrammetric technology that uses automatic imaging and processing means. Precise InSAR has become the most efficient satellite surveying and mapping (SASM) method that uses the interferometric phase to create a global digital elevation model (DEM) with high precision. In this paper, we propose the application of systematic InSAR technologies to SASM. Three key technologies are proposed: calibration technology, data processing technology and post-processing technology. First, we need to calibrate the geometric and interferometric parameters including the azimuth time delay, range time delay, and atmospheric delay, as well as baseline errors. Second, we use the calibrated parameters to create a precise DEM. One of the important procedures in data processing is the determination of phase ambiguities. Finally, we improve the DEM quality through the joint use of the block adjustment method, long and short baseline combination method and descending and ascending data merge method. We use 6 sets of TanDEM-X data covering Shanxi to conduct the experiment. The root mean square error of the final DEM is 5.07m in the mountainous regions. In addition, the low coherence area is 0.8km 2. The result meets the China domestic SASM accuracy standard at both the 1∶50000 and 1∶25000 measurement scales.

Key words: InSAR; global mapping; calibration; post-processing; DEM