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Automated detection of geological landforms on Mars using Convolutional Neural Networks

The large volume of high-resolution images acquired by the Mars Reconnaissance Orbiter has opened a new frontier for developing automated approaches to detecting landforms on the surface of Mars. However, most landform classifiers focus on crater detection, which represents only one of many geologic...

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Detalles Bibliográficos
Autores principales: Palafox, Leon F., Hamilton, Christopher W., Scheidt, Stephen P., Alvarez, Alexander M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701651/
https://www.ncbi.nlm.nih.gov/pubmed/29180829
http://dx.doi.org/10.1016/j.cageo.2016.12.015