用压缩图像修复技术提升月球3D地图精度，保障登月任务安全。
Enhancing the Quality of 3D Lunar Maps Using JAXA's Kaguya Imagery
- 分析压缩图像中的视差噪声模式，定位暗区异常
- 通过去噪算法降低视差图残余噪声，提升高程精度
- 适合月球探测、火星车路径规划等深空任务使用
随着全球探月行动加剧，高精度3D月面地图对远距离任务（如NASA的Endurance计划中2000公里南纬-艾特肯盆地巡视）愈发关键。尽管日本宇宙航空研究开发机构（JAXA）的Kaguya TC影像以10米/像素全球覆盖，但其因立体匹配误差与基于JPEG的压缩伪影导致高程数据偏差。本文分析了Kaguya TC影像的压缩特性，识别出暗区中系统性视差噪声模式。提出一种新方法，通过减少由压缩图像生成的视差图中的残余噪声，显著改善3D地图质量。实验表明，该方法有效降低高程噪声，增强未来月球任务地形数据的安全性与可靠性。
原文摘要 · Abstract (English)
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.
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