Impact craters help scientists to understand the geological history of planetary bodies. The aim of this paper is to improve the existing methodology for impact craters detection in images of planetary surfaces using a new approach based on morphological image processing (MIP). The improved methodology uses MIP followed by template matching based on fast Fourier transform (FFT). In this phase, a probability volume is generated based on the correlation between templates and images. The analysis of this probability volume allows the detection of different size of impact craters. We have applied the improved methodology to detect impact craters in a set of images from Thermal Emission Imaging System onboard the 2001 Mars Odyssey Space probe. The improved methodology has achieved a crater detection rate of 92.23% which can be considered robust, since results were obtained based on geomorphological features, different illumination conditions and low spatial resolution. The achieved results proved the viability of using MIP and template matching by FFT, to detect impact craters from planetary surfaces.
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机译：影响陨石坑帮助科学家了解行星体的地质历史。本文的目的是通过基于形态学图像处理（MIP）的新方法来改善行星表面图像中的影响射频检测现有方法。改进的方法使用MIP后跟基于快速傅里叶变换（FFT）的模板匹配。在该阶段，基于模板和图像之间的相关性产生概率量。对该概率容积的分析允许检测不同尺寸的冲击陨石坑。我们已经应用了2001 Mars Odyssey空间探针的热排放成像系统中的一组图像中的改进方法来检测了影响陨石坑。改进的方法已经实现了92.23％的火山口检测率，其可被认为是稳健的，因为结果基于地貌特征，不同的照明条件和低空间分辨率获得。达到的结果证明了使用FFT使用MIP和模板匹配的可行性，从行星表面检测冲击陨石坑。
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