Autonomous Martian rock image classification based on transfer deep learning methods
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
http://link.springer.com/content/pdf/10.1007/s12145-019-00433-9.pdf
Reference33 articles.
1. Arp G, Schultz S, Karius V, Head JW (2019) Ries impact crater sedimentary conglomerates: sedimentary particle ‘impact pre-processing’, transport distances and provenance, and implications for Gale crater conglomerates, Mars. ICARUS 321:531–549
2. Ayhan B, Dao M, Kwan C, Chen HM, Bell JF, Kidd R (2017) A novel utilization of image registration techniques to process mastcam images in mars rover with applications to image fusion, pixel clustering, and anomaly detection. IEEE J Selec Top Appl Earth Observ Rem Sens 10(10):4553–4564
3. Bell JF III, Godber A, McNair S, Caplinger MA, Maki JN, Lemmon MT, Van Beek J, Malin MC, Wellington D, Kinch KM, Madsen MB, Hardgrove C, Ravine MA, Jensen EH, Harker D, Anderson RB, Herkenhoff KE, Morris RV, Cisneros E, Deen RG (2017) The Mars science laboratory curiosity rover mast camera (Mastcam) instruments: pre-flight and in-flight calibration, validation, and data archiving. Earth and Space Sci 4:396–452
4. Burl MC, Thompson DR, deGranville C, B.J. (2016) BornsteinRockster: onboard rock segmentation through edge regrouping. J Aerospace Inform Syst 13:329–342. https://doi.org/10.2514/1.i010381
5. Carrera D, Bandeira L, Santana R, Lozano JA (2019) Detection of sand dunes on Mars using a regular vine-based classification approach. Knowled Bas Syst 163:858–874
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