EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 684 (April 2024) A&A, 684 (2024) A89 References
Open Access
Issue
A&A
Volume 684, April 2024
Article Number A89
Number of page(s) 9
Section Planets and planetary systems
DOI https://doi.org/10.1051/0004-6361/202348665
Published online 05 April 2024
  1. Ackermann, F. 1984, Photogramm. Rec., 11, 429 [Google Scholar]
  2. Acton, C. H., Jr 1996, Planet. Space Sci., 44, 65 [Google Scholar]
  3. Agarwal, S., Snavely, N., Seitz, S. M., & Szeliski, R. 2010, in Computer Vision–ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5–11, 2010, Proceedings, Part II 11 (Springer), 29 [Google Scholar]
  4. Al Asad, M. M., Philpott, L. C., Johnson, C. L., et al. 2021, Planet. Sci. J., 2, 82 [NASA ADS] [CrossRef] [Google Scholar]
  5. Alzubaidi, L., Zhang, J., Humaidi, A. J., et al. 2021, J. Big Data, 8, 53 [CrossRef] [Google Scholar]
  6. Aspert, N., Santa-Cruz, D., & Ebrahimi, T. 2002, Proceedings. IEEE International Conference on Multimedia and Expo, 1, 705 [CrossRef] [Google Scholar]
  7. Ballabeni, A., Apollonio, F. I., Gaiani, M., & Remondino, F. 2015, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W4, 315, iSPRS-Archives [Google Scholar]
  8. Barnes, C., Shechtman, E., Finkelstein, A., & Goldman, D. B. 2009, ACM Trans. Graph., 28, 24 [Google Scholar]
  9. Barnouin, O. S., Daly, M. G., Palmer, E. E., et al. 2020, Planet. Space Sci., 180, 104764 [NASA ADS] [CrossRef] [Google Scholar]
  10. Basilevsky, A., Lorenz, C., Shingareva, T., et al. 2014, Planet. Space Sci., 102, 95 [CrossRef] [Google Scholar]
  11. Benassi, F., Dall’Asta, E., Diotri, F., et al. 2017, Remote Sensing, 9, 172 [NASA ADS] [CrossRef] [Google Scholar]
  12. Bethmann, F., & Luhmann, T. 2010, Int. Arch. Photogramm. Remote Sensing Spatial Inform. Sci., 38, 86 [Google Scholar]
  13. Bleyer, M., Rhemann, C., & Rother, C. 2011, Bmvc, 11, 1 [Google Scholar]
  14. Bojanić, D., Bartol, K., Pribanić, T., et al. 2019, in 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA) (IEEE), 64 [CrossRef] [Google Scholar]
  15. Brockers, R., Proença, P., Delaune, J., et al. 2022, in 2022 IEEE Aerospace Conference (AERO) (IEEE), 1 [Google Scholar]
  16. Burmeister, S., Willner, K., Schmidt, V., & Oberst, J. 2018, J. Geodesy, 92, 963 [Google Scholar]
  17. Chen, M., Huang, X., Yan, J., Lei, Z., & Barriot, J. P. 2023, Icarus, 401, 115566 [NASA ADS] [CrossRef] [Google Scholar]
  18. Costa, M. 2013, Planetary Science Informatics and Data Analytics Conference, 2082, 6008 [Google Scholar]
  19. Cuturi, M. 2013, Adv. Neural Inform. Process. Syst., 26 [Google Scholar]
  20. Dabov, K., Foi, A., Katkovnik, V., & Egiazarian, K. 2007, IEEE Trans. Image Process., 16, 2080 [Google Scholar]
  21. DeTone, D., Malisiewicz, T., & Rabinovich, A. 2018, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 224 [Google Scholar]
  22. Dusmanu, M., Rocco, I., Pajdla, T., et al. 2019, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8092 [Google Scholar]
  23. Duxbury, T. C. 1974, Icarus, 23, 290 [Google Scholar]
  24. Duxbury, T. C. 1989, Icarus, 78, 169 [CrossRef] [Google Scholar]
  25. Duxbury, T. C. 1991, Planet. Space Sci., 39, 355 [NASA ADS] [CrossRef] [Google Scholar]
  26. Ernst, C. M., Daly, R. T., Gaskell, R. W., et al. 2023, Earth Planets Space, 75, 103 [NASA ADS] [CrossRef] [Google Scholar]
  27. Fan, X., Rhody, H., & Saber, E. 2010, IEEE Trans. Geosci. Remote Sensing, 48, 2580 [NASA ADS] [CrossRef] [Google Scholar]
  28. Gaskell, R. 2011, NASA Planetary Data System, VO1 [Google Scholar]
  29. Gaskell, R. W., Barnouin-Jha, O. S., Scheeres, D. J., et al. 2008, Meteor. Planet. Sci., 43, 1049 [NASA ADS] [CrossRef] [Google Scholar]
  30. Gaskell, R. W., Barnouin, O. S., Daly, M. G., et al. 2023, Planet. Sci. J., 4, 63 [NASA ADS] [CrossRef] [Google Scholar]
  31. Gwinner, K., Jaumann, R., Hauber, E., et al. 2016, Planet. Space Sci., 126, 93 [NASA ADS] [CrossRef] [Google Scholar]
  32. Heinrichs, M., Rodehorst, V., & Hellwich, O. 2007, Differences (SSD), 2, 1 [Google Scholar]
  33. Jacobson, R. 2010, AJ, 139, 668 [NASA ADS] [CrossRef] [Google Scholar]
  34. Jiang, C., Douté, S., Luo, B., & Zhang, L. 2017, ISPRS J. Photogramm. Remote Sensing, 130, 418 [NASA ADS] [CrossRef] [Google Scholar]
  35. Jorda, L., Gaskell, R., Capanna, C., et al. 2016, Icarus, 277, 257 [Google Scholar]
  36. Kirk, R. 1987, Ph.D. Thesis, California Institute of Technology, Pasadena, USA [Google Scholar]
  37. Knight, P. A. 2008, SIAM J. Matrix Anal. Applic., 30, 261 [CrossRef] [Google Scholar]
  38. Kuramoto, K., Kawakatsu, Y., Fujimoto, M., et al. 2022, Earth, Planets Space, 74, 12 [NASA ADS] [CrossRef] [Google Scholar]
  39. Li, Y., & Cheng, J. 2015, Remote Sensing Inform., 30, 31 [Google Scholar]
  40. Li, Z., Yuxuan, L. I. U., Yangjie, S. U. N., et al. 2022, Acta Geod. Cartogr. Si., 51, 1437 [Google Scholar]
  41. Lin, T.-Y., Maire, M., Belongie, S., et al. 2014, in Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6–12, 2014, Proceedings, Part V 13 (Springer), 740 [Google Scholar]
  42. Liu, W. C., & Wu, B. 2020, ISPRS J. Photogramm. Remote Sensing, 159, 153 [NASA ADS] [CrossRef] [Google Scholar]
  43. Liu, W. C., & Wu, B. 2023, ISPRS J. Photogramm. Remote Sensing, 204, 237 [NASA ADS] [CrossRef] [Google Scholar]
  44. Lowe, D. G. 2004, Int. J. Comput. Vis., 60, 91 [CrossRef] [Google Scholar]
  45. Ma, J., Jiang, X., Fan, A., Jiang, J., & Yan, J. 2021, Int. J. Comput. Vis., 129, 23 [CrossRef] [MathSciNet] [Google Scholar]
  46. Murray, J., & Heggie, D. 2014, Planet. Space Sci., 102, 119 [NASA ADS] [CrossRef] [Google Scholar]
  47. Oberst, J., Schwarz, G., Behnke, T., et al. 2008, Planet. Space Sci., 56, 473 [Google Scholar]
  48. Oberst, J., Zubarev, A., Nadezhdina, I., Shishkina, L., & Rambaux, N. 2014, Planet. Space Sci., 102, 45 [NASA ADS] [CrossRef] [Google Scholar]
  49. Pätzold, M., Häusler, B., Tyler, G. L., et al. 2016, Planet. Space Sci., 127, 44 [CrossRef] [Google Scholar]
  50. Preusker, F., Scholten, F., Matz, K.-D., et al. 2017, A&A, 607, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Revaud, J., De Souza, C., Humenberger, M., & Weinzaepfel, P. 2019, Adv. Neural Inform. Process. Syst., 32 [Google Scholar]
  52. Sarlin, P.-E., DeTone, D., Malisiewicz, T., & Rabinovich, A. 2020, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 4938 [Google Scholar]
  53. Scholten, F., Gwinner, K., Roatsch, T., et al. 2005, Photogramm. Eng. Remote Sensing, 71, 1143 [CrossRef] [Google Scholar]
  54. Shen, S. 2013, IEEE Trans. Image Process., 22, 1901 [CrossRef] [Google Scholar]
  55. Simonelli, D. P., Thomas, P. C., Carcich, B. T., & Veverka, J. 1993, Icarus, 103, 49 [NASA ADS] [CrossRef] [Google Scholar]
  56. Szeliski, R. 2022, Computer Vision: Algorithms and Applications (Springer Nature) [Google Scholar]
  57. Thomas, P. C. 1989, Icarus, 77, 248 [NASA ADS] [CrossRef] [Google Scholar]
  58. Tsai, V. J. 1993, Int. J. Geogr. Inform. Sci., 7, 501 [Google Scholar]
  59. Tsai, D.-M., & Lin, C.-T. 2003, Pattern Recognit. Lett., 24, 2625 [CrossRef] [Google Scholar]
  60. Turner, R. J. 1978, Icarus, 33, 116 [NASA ADS] [CrossRef] [Google Scholar]
  61. Vaswani, A., Shazeer, N., Parmar, N., et al. 2017, Adv. Neural Inform. Process. Syst., 30 [Google Scholar]
  62. Wählisch, M., Stooke, P. J., Karachevtseva, I. P., et al. 2014, Planet. Space Sci., 102, 60 [CrossRef] [Google Scholar]
  63. Wan, X., Shao, Y., Zhang, S., & Li, S. 2022, IEEE Trans. Geosci. Remote Sensing, 60, 1 [Google Scholar]
  64. Wang, X., Xie, L., Dong, C., & Shan, Y. 2021, in Proceedings of the IEEE/CVF International Conference on Computer Vision, 1905 [Google Scholar]
  65. Wellman, J. B., Landauer, F. P., Norris, D. D., & Thorpe, T. E. 1976, J. Spacecraft Rockets, 13, 660 [NASA ADS] [CrossRef] [Google Scholar]
  66. Willner, K., Oberst, J., Hussmann, H., et al. 2010, Earth Planet. Sci. Lett., 294, 541 [Google Scholar]
  67. Willner, K., Shi, X., & Oberst, J. 2014, Planet. Space Sci., 102, 51 [Google Scholar]
  68. Wu, C., Agarwal, S., Curless, B., & Seitz, S. M. 2011, in CVPR 2011 (IEEE), 3057 [CrossRef] [Google Scholar]
  69. Xu, Z., Yu, J., Yu, C., et al. 2020, in 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) (IEEE), 33 [CrossRef] [Google Scholar]
  70. Yang, X., Yan, J. G., Andert, T., et al. 2019, MNRAS, 490, 2007 [NASA ADS] [CrossRef] [Google Scholar]
  71. Yastikli, N. 2007, J. Cultural Heritage, 8, 423 [CrossRef] [Google Scholar]
  72. Zhang, D., He, F., Han, S., et al. 2017, Integr. Comput. Aided Eng., 24, 261 [CrossRef] [Google Scholar]
  73. Zheng, Y., Birdal, T., Xia, F., et al. 2022, arXiv e-prints [arXiv:2207.06333] [Google Scholar]
  74. Zimmerman, T., Jansen, K., & Miller, J. 2020, Remote Sensing, 12, 2305 [NASA ADS] [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.