Automated Extraction of Crater Rims on 3D Meshes Combining Artificial Neural Network and Discrete Curvature Labeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Astronomy and Astrophysics
Link
https://link.springer.com/content/pdf/10.1007/s11038-020-09535-7.pdf
Reference53 articles.
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2. T. Barata, E.I. Alves, J. Saraiva, P. Pina, Automatic recognition of impact craters on the surface of mars, in Image Analysisand Recognition, ed. by A. Campilho, M. Kamel (Springer, Berlin, 2004), pp. 489–496. https://doi.org/10.1007/978-3-540-30126-4_60
3. N.G. Barlow , Relative ages and the geologic evolution of Martian terrain units. PhD thesis, Arizona University, Tucson (1987)
4. N.G. Barlow, Crater size-frequency distributions and a revised Martian relative chronology. Icarus 75(2), 285–305 (1988). https://doi.org/10.1016/0019-1035(88)90006-1
5. N.G. Barlow, Impact craters in the northern hemisphere of Mars: layered ejecta and central pit characteristics. Meteorit Planet Sci 41(10), 1425–1436 (2006). https://doi.org/10.1111/j.1945-5100.2006.tb00427.x
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