Next Article in Journal
SRSe-Net: Super-Resolution-Based Semantic Segmentation Network for Green Tide Extraction
Next Article in Special Issue
A Laser-Induced Breakdown Spectroscopy Experiment Platform for High-Degree Simulation of MarSCoDe In Situ Detection on Mars
Previous Article in Journal
Modelling Impacts of Environmental Water on Vegetation of a Semi-Arid Floodplain–Lakes System Using 30-Year Landsat Data
Previous Article in Special Issue
Geomorphology, Mineralogy, and Geochronology of Mare Basalts and Non-Mare Materials around the Lunar Crisium Basin
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 14
Issue 3
10.3390/rs14030709
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Trajectory Recovery and Terrain Reconstruction Based on Descent Images under Dual-Restrained Conditions: Tianwen-1

by
Chen Qi
1,2,
Shaochuang Liu
2,
Yaming Xu
1,*,
Aigong Xu
3,
Jianli Zhang
4,
Youqing Ma
2,
Minglei Li
5,
Xinchao Xu
3,
Huan Yang
1,2 and
Yongzhe Yan
2,6
1
School of Geodesy and Geomatics, Wuhan University, Wuhan 430072, China
2
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
3
School of Mapping and Geographical Science, Liaoning Technical University, Fuxin 123000, China
4
Beijing Institute of Spacecraft System Engineering, Beijing 100094, China
5
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
6
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(3), 709; https://doi.org/10.3390/rs14030709
Submission received: 17 December 2021 / Revised: 28 January 2022 / Accepted: 30 January 2022 / Published: 2 February 2022
(This article belongs to the Special Issue Planetary Remote Sensing: Chang’E-4/5 and Mars Applications)
Browse Figures
Versions Notes

Abstract

Tianwen-1 is the first Mars probe launched by China and the first mission in the world to successfully complete the three steps of exploration (orbiting, landing, and roving) at the one time. Based on the unverifiable descent images which cover the full range of the landing area, trajectory recovery and fine terrain reconstruction are important parts of the planetary exploration process. In this paper, a novel trajectory recovery and terrain reconstruction (TR-TR) algorithm employing descent images is proposed for the dual-restrained conditions: restraints of the flat terrain resulting in an unstable solution of the descent trajectory and of the parabolic descent trajectory causing low accuracy of terrain reconstruction, respectively. A landing simulation experiment on a landing field with Mars-like landform was carried out to test the robustness and feasibility of the algorithm. The experiment result showed that the horizontal error of the recovered trajectory didn’t exceed 0.397 m, and the elevation error of the reconstructed terrain was no more than 0.462 m. The algorithm successfully recovered the descent trajectory and generated high-resolution terrain products using in-orbit data of Tianwen-1, which provided effective support for the mission planning of the Zhurong rover. The analysis of the results indicated that the descent trajectory has parabolic properties. In addition, the reconstructed terrain contains abundant information and the vertical root mean square error (RMSE) of ground control points is smaller than 1.612 m. Terrain accuracy obtained by in-orbit data is lower than that obtained by field experiment. The work in this paper has made important contributions to the surveying and mapping of Tianwen-1 and has great application value.
Keywords: Tianwen-1; descent image; dual-restrained; trajectory recovery and terrain reconstruction (TR-TR); plane induced parallax; degenerate plane Tianwen-1; descent image; dual-restrained; trajectory recovery and terrain reconstruction (TR-TR); plane induced parallax; degenerate plane

Share and Cite

MDPI and ACS Style

Qi, C.; Liu, S.; Xu, Y.; Xu, A.; Zhang, J.; Ma, Y.; Li, M.; Xu, X.; Yang, H.; Yan, Y. Trajectory Recovery and Terrain Reconstruction Based on Descent Images under Dual-Restrained Conditions: Tianwen-1. Remote Sens. 2022, 14, 709. https://doi.org/10.3390/rs14030709

AMA Style

Qi C, Liu S, Xu Y, Xu A, Zhang J, Ma Y, Li M, Xu X, Yang H, Yan Y. Trajectory Recovery and Terrain Reconstruction Based on Descent Images under Dual-Restrained Conditions: Tianwen-1. Remote Sensing. 2022; 14(3):709. https://doi.org/10.3390/rs14030709

Chicago/Turabian Style

Qi, Chen, Shaochuang Liu, Yaming Xu, Aigong Xu, Jianli Zhang, Youqing Ma, Minglei Li, Xinchao Xu, Huan Yang, and Yongzhe Yan. 2022. "Trajectory Recovery and Terrain Reconstruction Based on Descent Images under Dual-Restrained Conditions: Tianwen-1" Remote Sensing 14, no. 3: 709. https://doi.org/10.3390/rs14030709

APA Style

Qi, C., Liu, S., Xu, Y., Xu, A., Zhang, J., Ma, Y., Li, M., Xu, X., Yang, H., & Yan, Y. (2022). Trajectory Recovery and Terrain Reconstruction Based on Descent Images under Dual-Restrained Conditions: Tianwen-1. Remote Sensing, 14(3), 709. https://doi.org/10.3390/rs14030709

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop