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Automated crater detection algorithms from a machine learning perspective in the convolutional neural network era

DeLatte, D. M.; Crites, S. T.; Guttenberg, N. +1 more

Convolutional Neural Networks (CNN) offer promising opportunities to automatically glean scientifically relevant information directly from annotated images, without needing to handcraft features for detection. Crater counting started with hand counting hundreds, thousands, or even millions of craters in order to determine the age of geological uni…