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分米级地理定位精度由参数化对流层模型与 GF-3 更新。

Decimeter-Level Geolocation Accuracy Updated by a Parametric Tropospheric Model with GF-3.

机构信息

School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China.

Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.

出版信息

Sensors (Basel). 2018 Jul 8;18(7):2197. doi: 10.3390/s18072197.

DOI:10.3390/s18072197
PMID:29986537
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6069220/
Abstract

GaoFen-3 (GF-3) is a multi-polarization C-band synthetic aperture radar (SAR) satellite in China with a resolution of up to 1 m. Up to now, the geolocation accuracy of GF-3 could be improved to 3 m. According to the current study, there still exist meter-level geolocation residuals caused by atmospheric path delay after compensating with a static tropospheric model. In this paper, we compensate the residuals with the sophisticated tropospheric model based on real meteorological data. The experimental results show that the tropospheric model has an accuracy on the millimeter level, which can increase GF-3’s geolocation accuracy to several decimeters compared with the static tropospheric model.

摘要

高分三号(GF-3)是中国的一颗多极化 C 波段合成孔径雷达(SAR)卫星,分辨率高达 1 米。截至目前,GF-3 的定位精度可以提高到 3 米。根据目前的研究,在使用静态对流层模型补偿后,仍然存在由大气路径延迟引起的米级定位残差。在本文中,我们使用基于实际气象数据的复杂对流层模型来补偿这些残差。实验结果表明,该对流层模型具有毫米级的精度,与静态对流层模型相比,它可以将 GF-3 的定位精度提高到几厘米。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/434c157666b9/sensors-18-02197-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/69a3a3eab1de/sensors-18-02197-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/b329c7823b77/sensors-18-02197-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/bb49e1b14804/sensors-18-02197-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/1e84307ec0a8/sensors-18-02197-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/52bfdbb8b244/sensors-18-02197-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/434c157666b9/sensors-18-02197-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/69a3a3eab1de/sensors-18-02197-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/b329c7823b77/sensors-18-02197-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/bb49e1b14804/sensors-18-02197-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/1e84307ec0a8/sensors-18-02197-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/52bfdbb8b244/sensors-18-02197-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a8/6069220/434c157666b9/sensors-18-02197-g006.jpg

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本文引用的文献

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Preliminary Assessment of Wind and Wave Retrieval from Chinese Gaofen-3 SAR Imagery.基于中国高分三号合成孔径雷达图像的风浪反演初步评估
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2
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Sensors (Basel). 2008 Dec 19;8(12):8479-8491. doi: 10.3390/s8128479.