Enhancing the Quality of 3D Lunar Maps Using JAXA's Kaguya Imagery
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Abstract (arXiv)
As global efforts to explore the Moon intensify, the need for high-quality 3D lunar maps becomes increasingly critical-particularly for long-distance missions such as NASA's Endurance mission concept, in which a rover aims to traverse 2,000 km across the South Pole-Aitken basin. Kaguya TC (Terrain Camera) images, though globally available at 10 m/pixel, suffer from altitude inaccuracies caused by stereo matching errors and JPEG-based compression artifacts. This paper presents a method to improve the quality of 3D maps generated from Kaguya TC images, focusing on mitigating the effects of compression-induced noise in disparity maps. We analyze the compression behavior of Kaguya TC imagery, and identify systematic disparity noise patterns, especially in darker regions. In this paper, we propose an approach to enhance 3D map quality by reducing residual noise in disparity images derived from compressed images. Our experimental results show that the proposed approach effectively reduces elevation noise, enhancing the safety and reliability of terrain data for future lunar missions.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 17 references that are in the map. First posted on arXiv 13 Oct 2025.
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References · 7
- 2021Palette: Image-to-Image Diffusion Modelscited by 1,300
- 2018Pyramid Stereo Matching Networkcited by 489
- 2021RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matchingcited by 353
- 2021Towards Flexible Blind JPEG Artifacts Removalcited by 76
- 2024IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matchingcited by 59
- 2020Quantization Guided JPEG Artifact Correctioncited by 57
- 2022JPEG Artifact Correction using Denoising Diffusion Restoration Modelscited by 47
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