Cargando…
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...
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 |
Ejemplares similares
-
The Fractal Nature of Planetary Landforms and Implications to Geologic Mapping
por: Robbins, Stuart J.
Publicado: (2018) -
Morphometric and topographic data of small and medium size landforms in the Northern Circumpolar Region of Mars
por: Sánchez-Bayton, Marina, et al.
Publicado: (2022) -
Developing an integrated approach based on geographic object-based image analysis and convolutional neural network for volcanic and glacial landforms mapping
por: Kazemi Garajeh, Mohammad, et al.
Publicado: (2022) -
Automated COVID-19 detection with convolutional neural networks
por: Dumakude, Aphelele, et al.
Publicado: (2023) -
Geology of the InSight landing site on Mars
por: Golombek, M., et al.
Publicado: (2020)