The lunar permanently shadowed regions (PSRs) are expected to host large quantities of water-ice, which are key for sustainable exploration of the Moon and beyond. In the near future, NASA and other entities plan to send rovers and humans to characterize water-ice within PSRs. However, there exists only limited information about the small-scale geomorphology and distribution of ice within PSRs because the orbital imagery captured to date lacks sufficient resolution and/or signal. In this paper, we develop and validate a new method of post-processing LRO NAC images of PSRs. We show that our method is able to reveal previously unseen geomorphological features such as boulders and craters down to 3 meters in size, whilst not finding evidence for surface frost or near-surface ice. Our post-processed images significantly facilitate the exploration of PSRs by reducing the uncertainty of target selection and traverse/mission planning.

月球永久阴影区 (PSR) 预计会容纳大量水冰，这是月球及更远地区可持续探索的关键。在不久的将来，NASA 和其他实体计划派遣漫游者和人类来描述 PSR 内的水冰特征。然而，由于迄今为止捕获的轨道图像缺乏足够的分辨率和/或信号，因此关于 PSR 内冰的小规模地貌和分布的信息非常有限。在本文中，我们开发并验证了一种后处理 PSR 的 LRO NAC 图像的新方法。我们表明，我们的方法能够揭示以前看不见的地貌特征，例如小至 3 米的巨石和陨石坑，同时没有找到地表霜或近地表冰的证据。