Deriving Surface Ages on Mars using Automated Crater Counting
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Impact craters on solar system bodies are used to determine the relative ages of surfaces. The smaller the limiting primary crater size, the higher the spatial resolution in surface/resurfacing age dating. A manually counted database (Robbins & Hynek, 2012, https://doi.org/10.1029/2011JE003966) of >384,000 craters on Mars >1 km in diameter exists. But because crater size scales as a power law, the number of impact craters in the size range 10 m to 1 km is in the tens of millions, a number making precise analysis of local variations of age, over an entire surface, impossible to perform by manual counting. To decode this crater size population at a planetary scale, we developed an automated Crater Detection Algorithm based on the You Only Look Once v3 object detection system. The algorithm was trained by annotating images of the controlled Thermal Emission Imaging System daytime infrared data set. This training data set contains 7,048 craters that the algorithm used as a learning benchmark. The results were validated against the manually counted database as the ground truth data set. We applied our algorithm to the Thermal Emission Imaging System global mosaic between ±65° of latitude, returning a true positive detection rate of 91% and a diameter estimation error (~15%) consistent with typical manual count variation. Importantly, although a number of automated crater counting algorithms have been published, for the first time we demonstrate that automatic counting can be routinely used to derive robust surface ages.
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Lagain, Anthony ; Servis, Konstantinos; Benedix, Gretchen ; Norman, Christopher; Anderson, Seamus; Bland, Philip (2021)Determining when an impact crater formed is a complex and tedious task. However, this knowledge is crucial to understanding the geological history of planetary bodies and, more specifically, gives information on erosion ...
Galloway, M.; Benedix, G.; Bland, Phil; Paxman, J.; Towner, M.; Tan, T. (2014)© 2014 IEEE. A manual process for detecting and counting craters on the surface of a planetary body becomes impractical when attempting to survey a large surface area. Similarly, existing automated methods that are effective ...
Lagain, Anthony ; Benedix-Bland, Gretchen; Bland, Philip; Towner, Martin; Norman, Chris; Paxman, Jonathan; Chai, Kevin; Meka, Shiv; Anderson, Seamus (2019)Counting impact craters on surfaces of terrestrial bodies is currently the only way to estimate the age of a planetary surface and the duration of geological processes occurred in the past. This approach requires a tedious ...