Optical satellite sensor and positioning accuracy analysis for the Hongqi-1-H9 wide-range satellite in different terrains

Author:

Song Wenping,Wang Jianxiong,Bai Yang,Wang Linhui,Li Xiang,Tian Shiqiang,Qi Xianyang

Abstract

AbstractThe excellent performance of geometric positioning of a newly launched satellite will greatly broaden its application field. Launched on January 15, 2020, the Hongqi-1-H9 wide-range satellite is the largest sub-meter-level satellite worldwide and the first ton-level commercial remote sensing satellite in China, with a resolution of less than 1 m and a swath width of 136 km. This study was aimed at assessing the geometric positioning accuracy of this newly launched satellite considering three aspects, namely, the circle error accuracy, rational polynomial coefficient-based direct geometric positioning accuracy and ground control point-based absolute positioning accuracy under urban, plain, and mountainous areas, with different topographies. The results of the conducted experimental investigation indicated that the Hongqi-1-H9 satellite could exhibit a high positioning accuracy in planar and vertical directions for different terrains. In particular, for our experimental areas with a low topography and few surface structures, the geometric positioning accuracy of the Hongqi-1-H9 satellite imagery was less than 4m and 2 m in the planimetry and elevation directions, respectively. These characteristics can promote the application of the Hongqi-1-H9 satellite images in agricultural surveys, target detection, and land surveys, among other domains.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Reference42 articles.

1. J.C. White, N.C. Coops, M.A. Wulder, M. Vastaranta, T. Hilker, P. Tompalski, Remote sensing technologies for enhancing forest inventories: a review. Can. J. Remote Sens. 42(5), 619–641 (2016)

2. T.E. Shaw, S. Gascoin, P.A. Mendoza, F. Pellicciotti, J. McPhee, Snow depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic remote sensing. Water Resour. Res. 56(2), 1–23 (2020)

3. J. Wang, D. Yang, M. Detto, B.W. Nelson, M. Chen, K. Guan, J. Wu, Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest. Remote Sens. Environ. 246, 865–881 (2020)

4. W.G. Han, J. Matthew, Near real-time satellite data quality monitoring and control, in 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (2016), pp. 206–209

5. T.M. Pham, R. Farrell, L. Tran, Revisiting the MIMO capacity with per-antenna power constraint: fixed-point iteration and alternating optimization. IEEE Trans. Wirel. Commun. 18(1), 388–401 (2018)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3