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Applications of Photogrammetry and Remote Sensing Technologies in Tianwen-1 Mission

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Image and Graphics Technologies and Applications (IGTA 2022)

Abstract

Tianwen-1 represents China’s first effort to explore Mars. The developed technologies of interest include orbiter image mapping based on a strict geometric model, lander localization based on a two-step method, and telepresence reconstruction based on multi-source data. These technologies have been developed to directly support day to day operations of the Zhurong rover. This paper presents a brief overview of the applications of photogrammetry and remote sensing technologies in the Tianwen-1 mission. To provide context for the analysis and interpretation of the in situ measurements, the basis of this study is the use of available multi-source remote sensing data to demonstrate the analysis of Martian geomorphic characteristics within 60 km2 of the landing area. Combining the scientific payloads of the orbiter and rover, the comprehensive exploration of the landing area in terms of morphology, mineralogy, stratigraphy, and climatology will greatly promote understanding of the geological evolution of the largest impact basin on Mars, Utopia Planitia, in the planetary science community.

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Acknowledgments

This study was supported by National Key R&D Program of China (No. 2018YFB1305004); National Natural Science Foundation of China (grant Nos. 42172265, 41771488). The Tiawen-1 mission was carried out by the Chinese Planetary Exploration Program. We thank the Lunar and Deep Space Exploration Science Applications Center of the National Astronomical Observatories for providing the HiRIC DOM and DEM.

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Correspondence to Ziqing Cheng or Wenhui Wan .

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Wang, J. et al. (2022). Applications of Photogrammetry and Remote Sensing Technologies in Tianwen-1 Mission. In: Wang, Y., Ma, H., Peng, Y., Liu, Y., He, R. (eds) Image and Graphics Technologies and Applications. IGTA 2022. Communications in Computer and Information Science, vol 1611. Springer, Singapore. https://doi.org/10.1007/978-981-19-5096-4_21

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  • DOI: https://doi.org/10.1007/978-981-19-5096-4_21

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