One of the challenges of planetary science is the age determination of geological units on the surface of the different planetary bodies in the solar system. This serves to establish a chronology of the geological events occurring on these different bodies, hence to understand their formation and evolution processes. An approach for dating planetary surfaces relies on the analysis of the impact crater densities with size. Approaches have been proposed to automatically detect impact craters in order to facilitate the dating process. They rely on color values from images or elevation values from Digital Elevation Models (DEM). In this article, we propose a new approach for crater detection, more specifically using their rims. The craters can be characterized by a round shape that can be used as a feature. The developed method is based on an analysis of the DEM geometry, represented as a 3D mesh, followed by curvature analysis. The classification process is done with one layer perceptron. The validation of the method is performed on DEMs of Mars, acquired by a laser altimeter aboard NASA’s Mars Global Surveyor spacecraft and combined with a database of manually identified craters. The results show that the proposed approach significantly reduces the number of false negatives compared to others based on topographic information only.

中文翻译：

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在结合人工神经网络和离散曲率标记的 3D 网格上自动提取火山口边缘

行星科学的挑战之一是确定太阳系中不同行星体表面地质单元的年龄。这有助于建立在这些不同天体上发生的地质事件的年表，从而了解它们的形成和演化过程。一种确定行星表面年代的方法依赖于对撞击坑密度与大小的分析。已经提出了自动检测撞击坑的方法，以促进测年过程。它们依赖于图像的颜色值或来自数字高程模型 (DEM) 的高程值。在本文中，我们提出了一种新的陨石坑检测方法，更具体地说是使用它们的边缘。陨石坑的特点是圆形，可以用作特征。开发的方法基于对 DEM 几何的分析，表示为 3D 网格，然后是曲率分析。分类过程是用一层感知器完成的。该方法的验证是在火星的 DEM 上进行的，由 NASA 的火星全球勘测者号航天器上的激光高度计获取，并结合手动识别的陨石坑数据库。结果表明，与仅基于地形信息的其他方法相比，所提出的方法显着减少了假阴性的数量。由美国宇航局火星全球探测器航天器上的激光高度计获取，并结合手动识别的陨石坑数据库。结果表明，与仅基于地形信息的其他方法相比，所提出的方法显着减少了假阴性的数量。由美国宇航局火星全球探测器航天器上的激光高度计获取，并结合手动识别的陨石坑数据库。结果表明，与仅基于地形信息的其他方法相比，所提出的方法显着减少了假阴性的数量。