Illuminating the Moon: Reconstruction of lunar terrain using photogrammetry, Neural Radiance Fields, and Gaussian Splatting

IF 1.9 4区物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS

Astronomy and Computing Pub Date : 2025-03-01 DOI:10.1016/j.ascom.2025.100953

A. Prosvetov, A. Govorov, M. Pupkov, A. Andreev, V. Nazarov

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引用次数: 0

Abstract

Accurately reconstructing the lunar surface is critical for scientific analysis and the planning of future lunar missions. This study investigates the efficacy of three advanced reconstruction techniques – photogrammetry, Neural Radiance Fields, and Gaussian Splatting – applied to the lunar surface imagery. The research emphasizes the influence of varying illumination conditions and shadows, crucial elements due to the Moon's lack of atmosphere. Extensive comparative analysis is conducted using a dataset of lunar surface images captured under different lighting scenarios. Our results demonstrate the strengths and weaknesses of each method based on a pairwise comparison of the obtained models with the original one. The results indicate that using methods based on neural networks, it is possible to complement the model obtained by classical photogrammetry. These insights are invaluable for the optimization of surface reconstruction algorithms, promoting enhanced accuracy and reliability in the context of upcoming lunar exploration missions.

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照亮月球：利用摄影测量、神经辐射场和高斯溅射重建月球地形

准确地重建月球表面对科学分析和未来月球任务的规划至关重要。本文研究了三种先进的重建技术——摄影测量、神经辐射场和高斯溅射——对月球表面图像的重建效果。这项研究强调了不同光照条件和阴影的影响，这是月球缺乏大气层的关键因素。利用在不同光照场景下拍摄的月球表面图像数据集进行了广泛的比较分析。通过将得到的模型与原始模型进行两两比较，我们的结果展示了每种方法的优点和缺点。结果表明，基于神经网络的方法可以对经典摄影测量模型进行补充。这些见解对于优化表面重建算法，提高即将到来的月球探测任务的准确性和可靠性具有不可估量的价值。

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来源期刊

Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.10

自引率

8.00%

发文量

期刊介绍： Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.