Automated crater detection on Mars using deep learning

Planetary and Space Science(2019)

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摘要
Impact crater cataloging is an important tool in the study of the geological history of planetary bodies in the Solar System, including dating of surface features and geologic mapping of surface processes. Catalogs of impact craters have been created by a diverse set of methods over many decades, including using visible or near infra-red imagery and digital terrain models.
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关键词
Mars craters,Digital terrain model,Deep learning,Convolutional neural network
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