用月球影像提升地形图精度，揭示细微陨坑结构。
DEM Refinement and Validation on the Lunar Surface Using Shape-from-Shading with Chandrayaan-2 OHRC Imagery
- 通过阴影反演法融合月球相机图像，生成新地形数据。
- 三处月面区域地形细节显著增强，尤其在坡度统计上改善明显。
- 适合月球地质测绘与着陆区精细建模研究者参考。
本研究提出一种基于形状-阴影（SfS）的框架，利用嫦娥二号轨道器高分辨率相机（OHRC）影像，对亚米级分辨率的月球数字高程模型（DEMs）进行精细化处理。该方法在相同区域使用独立的OHRC影像实施SfS，使SfS不仅作为优化工具，更成为不受立体基线限制的新地形数据来源。研究在三处月面区域——赛里斯陨石坑、维克拉姆着陆区及月球南极（蒙斯·穆顿）开展，通过三阶段系统性平滑权重参数扫描，验证了可测量的地形改善效果，尤其在表面坡度统计中揭示了此前未解析的微细陨坑形态。同时识别出两种限制因素：阴影图像与立体像对间大俯仰角差异会降低SfS敏感性；阴影图像覆盖不完整则导致增强效果空间分布不均。
原文摘要 · Abstract (English)
This study presents a Shape from Shading (SfS) framework to enhance sub-metre resolution lunar digital elevation models (DEMs) using imagery from the Orbiter High Resolution Camera (OHRC) aboard Chandrayaan-2. The framework applies SfS to an independent OHRC image of the same region, enabling SfS not just as a refinement tool, but as a source of new topographic data, unconstrained by stereo baseline limitations. The method is applied across three lunar sites, including the Cyrillus crater, the Vikram landing region, and the lunar south pole (Mons Mouton), with a systematic three-stage parameter sweep on the SfS smoothness weight. Results show measurable topographic enhancement, particularly in surface slope statistics, revealing fine-scale crater morphology previously unresolved. A limiting case is also characterized, where large pitch angle separation between the shading image and stereo pair reduces SfS sensitivity, and partial footprint coverage of the shading image is identified as a factor influencing spatially variable enhancement quality.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。