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RESEARCH ON 1:5000 SCALE DEM GENERATION TECHNOLOGY USING AIRBORNE KA-BAND INSAR DATA

机译:基于机载KA波段SARSAR数据的1:5000比例尺生成技术研究

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摘要

Airborne Ka-band InSAR system is able to provide images with high resolution, high signal-noise-ratio, high-precision attitude, and high-precision positioning data, thus DEM with high-precision can be obtained using InSAR. In this paper, we use the orthogonal decomposition of look vector to analyze the three-dimensional positioning model based on the airborne Ka-band imaging geometry, then establish the interferometric calibration model to correct the main error sources. Besides, we implement multi-baseline fusion given that the airborne instrument consists of three antennas, which make it possible to construct three interferograms through one flight. We conduct experiments using airborne Ka-band InSAR data covering Xi’an, China. Finally, we use ground control points (GCPs) for the interferometric calibration model and generate the fused DEM. Experiments show that we can determine the airborne Ka-band InSAR system parameters accurately using interferometric calibration model. The vertical accuracy of multi-baseline fused DEM is 0.33 m, and the plane positioning error is 1.40 m. It meets the requirements of DEM quality at 1:5000 measurement scale.
机译:机载Ka波段InSAR系统能够提供高分辨率,高信噪比,高精度姿态和高精度定位数据的图像,因此使用InSAR可以获得高精度的DEM。本文利用视矢量的正交分解,基于机载Ka波段成像几何结构对三维定位模型进行了分析,然后建立了干涉标定模型来校正主要误差源。此外,考虑到机载仪器由三个天线组成,我们可以实现多基线融合,这使得通过一次飞行就能构造三个干涉图成为可能。我们使用覆盖中国西安的机载Ka波段InSAR数据进行实验。最后,我们将地面控制点(GCP)用于干涉仪校准模型,并生成融合的DEM。实验表明,采用干涉标定模型可以准确确定机载Ka波段InSAR系统参数。多基线融合DEM的垂直精度为0.33 m,平面定位误差为1.40 m。它满足1:5000测量比例的DEM质量要求。

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  • 来源
  • 会议地点 Wuhan(CN)
  • 作者单位

    Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100041, China, E-Mails: chenqf@sasmac.cn;

    Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100041, China, lit@sasmac.cn;

    Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100041, China, gaoxm@sasmac.cn;

    Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100041, China Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100041, China;

    Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100041, China Southwest Jiaotong University, Chengdu 610031, China, E-Mail: 932066664qing@gmail.com;

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