EGU25-19233, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-19233
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 28 Apr, 14:00–15:45 (CEST), Display time Monday, 28 Apr, 14:00–18:00
 
Hall X4, X4.204
Photometric-Constrained Reconstruction of Lunar Landing Site Topography Using Orbiter and Descent Images
Xiaohuan Xie1,2, Shijie Liu1, Li Ma1, Qian Huang1,2, Hao Chen2, Jürgen Oberst2, and Xiaohua Tong1
Xiaohuan Xie et al.
  • 1College of Surveying and Geo-informatics, Tongji University, Shanghai, China (liusjtj@tongji.edu.cn)
  • 2Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, Berlin, Germany

In lunar exploration, high-resolution topography is an important basis for safe landing and mission planning. Remote sensing images are the main data sources for the reconstruction of lunar surface topography [1]. Among them, the orbiter images preserve the topographic photometric information under different illumination directions, and the descent images contain high-resolution morphological details of the landing site. In order to integrate the advantages of multi-illumination directions of orbiter images and high resolution of descent images, we propose a joint photometric-constrained method for topography reconstruction using both orbiter and descent images. In the framework of the joint photometric-constrained Shape from Shading (SfS) [2-4], the photometric information in multi-source images illuminated from different directions is added into the cost function as a weighted regular term in topography reconstruction. We focus on the Chang'E-3 landing site. We used the Lunar Reconnaissance Orbiter (LRO) Narrow Angle Camera (NAC) images of the area and Chang'E-3 descent images for experiments, and obtained topographic data of the site with a resolution better than 0.1 m/pixel. Comparing with previously derived topography [5], we verified that our topography is more consistent result with the images in multi-angle illumination rendering [6], integrating the photometric information of the multi-source images and preserving the morphological details such as small-size impact craters. The method proposed in this study not only improves the accuracy of topography reconstruction of the Chang'E-3 landing site, but also provides a new idea for the joint processing of multi-source image data.

[1] Di K., et al. (2020) Topographic mapping of the moon in the 21st century: from hectometer to millimeter scales. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B3-2020, pp.1117-1124.

[2] Horn, B.K.P. (1990) Height and gradient from shading. International Journal of Computer Vision, 5, pp. 37–75.

[3] Beyer R.A., et al. (2018) The Ames Stereo Pipeline: NASA's Open Source Software for Deriving and Processing Terrain Data. Earth and Space Science, 5, pp. 537-548.

[4] Tenthoff M. et al. (2020) High Resolution Digital Terrain Models of Mercury. Remote Sensing, 12, p. 3989.

[5] Henriksen M.R., et al. (2017) Extracting accurate and precise topography from LROC narrow angle camera stereo observations. Icarus, 283, pp.122-137.

[6] Tong X., et al. (2023) A high-precision horizon-based illumination modeling method for the lunar surface using pyramidal LOLA data. Icarus, 390, p. 115302.

How to cite: Xie, X., Liu, S., Ma, L., Huang, Q., Chen, H., Oberst, J., and Tong, X.: Photometric-Constrained Reconstruction of Lunar Landing Site Topography Using Orbiter and Descent Images, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-19233, https://doi.org/10.5194/egusphere-egu25-19233, 2025.