The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Automated rock detection and shape analysis from mars rover imagery and 3D point cloud data
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, most geological analyses are conducted manually through remote communication [28].”
From Semantic Terrain Segmentation in the Navigation Vision of Planetary Rovers—A Systematic Literature Review (2022) · cites this paper as [28]
In the citing paper
“For example, studying geographies from other planets can help us understand the history and development of the Earth [28].”
From Semantic Terrain Segmentation in the Navigation Vision of Planetary Rovers—A Systematic Literature Review (2022) · cites this paper as [28]
In the citing paper
“The data acquisition speed has increased dramatically and is faster than the manual analysis speed [28].”
From Semantic Terrain Segmentation in the Navigation Vision of Planetary Rovers—A Systematic Literature Review (2022) · cites this paper as [28]
In the citing paper
“For example, reference [29] applied the K-mean cluster to ensure safe wandering for the planetary rover; reference [11] utilized Mask-R-CNN to support the Mars sample return mission; and reference [28] used the mean-shift algorithm for geological analysis.”
From Semantic Terrain Segmentation in the Navigation Vision of Planetary Rovers—A Systematic Literature Review (2022) · cites this paper as [28]
Citations
Cites
Processing of Mars Exploration Rover imagery for science and operations planning
Alexander, D. A., Deen, R. G., Andres, P. M., Zamani, P., Mortensen, H. B., Chen, A. C., Cayanan, M. K., Hall, J. R., Klochko, V. S., Pariser, O., et al. (2006) · Journal of Geophysical Research: Planets · doi:10.1029/2005je002462 · Cited by 163
Research works printed but not linked: 28
- Castano, R., Judd, M., Estlin, T., et al., 2005. Current Results from a Rover Science Data Analysis System. In: IEEE Aerospace Conference, Montana, http://trs-new.jpl.nasa.gov/dspace/bitstream/2014/39275/1/05-0185.pdf
- Castano, R., Estlin, T., Anderson, R. C., et al., 2007. Onboard Autonomous Rover Science. In: Proceedings of IEEE Aerospace Conference, http://marstech.jpl.nasa.gov/publications/CastanoIEEE-Aero2007.pdf
- Cheng, Y. Z., 1995. Mean Shift, Mode Seeking, and Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(8): 790–799 · DOI
- Comaniciu, D., Ramesh, V., Meer, P., 2000. Real-Time Tracking of Non-Rigid Objects Using Mean Shift. In: Conference on Computer Vision and Pattern Recognition, Hilton Head, SC. 142–149
- Comaniciu, D., Ramesh, V., Meer, P., 2001. The Variable Bandwidth Mean Shift and Data-Driven Scale Selection. Computer Vision, 1: 438–445
- Comaniciu, D., Meer, P., 2002. Mean Shift: A Robust Approach toward Feature Space Analysis. Pattern Analysis and Machine Intelligence, 24(5): 603–619 · DOI
- Di, K., Xu, F., Wang, J., et al., 2008. Photogrammetric Processing of Rover Imagery of the 2003 Mars Exploration Rover Mission. ISPRS Journal of Photogrammetry and Remote Sensing, 63(2): 181–201, doi:10.1016/j.isprsjprs.2007.07. 007 · DOI
- Fitzgibbon, A., Pilu, M., Fisher, R. B., 1999. Direct Least-Square Fitting of Ellipses. Pattern Analysis and Machine Intelligence, 21(5): 476–480 · DOI
- Fox, J., Castano, R., Anderson, R. C., 2002. Onboard Autonomous Rock Shape Analysis for Mars Rovers. In: Proceedings of IEEE Aerospace Conference, Montana. 2036–2052
- Fukanaga, K., Hostetler, L. D., 1975. The Estimation of the Gradient of a Density Function, with Applications in Pattern Recognition. IEEE Transactions on Information Theory, 21(1): 32–40 · DOI
- Golombek, M. P., Huertas, A., Marlow, J., et al., 2008, Size-Frequency Distributions of Rocks on the Northern Plains of Mars with Special Reference to Phoenix Landing Surfaces. Journal of Geophysical Research—Planets, 13(E00A09): 32, doi:10.1029/2007JE003065 · DOI
- Gor, V., Castano, R., Manduchi, R., et al., 2001. Autonomous Rock Detection for Mars Terrain. In: Space 2001, American Institute of Aeronautics and Astronautics, Albuquerque, NM, USA
- Gulick, V. C., Morris, R. L., Ruzon, M. A., et al., 2001. Autonomous Image Analyses during the 1999 Marsokhod Rover Field Test. Journal of Geophysical Research, 106(E4): 7745–7763, doi:10.1029/1999JE001182 · DOI
- Hong, Y., Yi, J., Zhao, D., 2007. Improved Mean Shift Segmentation Approach for Natural Images. Applied Mathematics and Computation, 185(2): 940–952 · DOI
- Li, R., Squyres, S. W., Arvidson, R. E., et al., 2005. Initial Results of Rover Localization and Topographic Mapping for the 2003 Mars Exploration Rover Mission. Photogrammetric Engineering & Remote Sensing, 71(10): 1129–1142 · DOI
- Li, R., Di, K., Howard, A. B., et al., 2007. Rock Modeling and Matching for Autonomous Long-Range Mars Rover Localization. Journal of Field Robotics, 24(3): 187–203, doi:10.1002/rob.20182 · DOI
- Manduchi, R., Pollara, F., Dolinar, S., et al., 2000. Onboard Science Processing and Buffer Management for Intelligent Deep Space Communications. In: Proceedings of IEEE Aerospace Conference Big Sky, Montana, USA, http://trs-new.jpl.nasa.gov/dspace/bitstream/2014/18495/1/99-1983.pdf
- Ozertem, U., Erdogmus, D., Jenssen, R., 2008. Mean Shift Spectral Clustering. Pattern Recognition, 41(6): 1924–1938 · DOI
- Peng, N. S., Yang, J., Liu, Z., et al., 2005. Automatic Selection of Kernel-Bandwidth for Mean-Shift Object Tracking. Journal of Software, 16(9): 1542–1550, doi:10.1360/jos16 1542 (in Chinese with English Abstract) · DOI
- Song, Y. H., Shan, J., 2006. A Framework for Automated Rock Segmentation of the Mars Exploration Rover Imagery. In: Proceedings of ASPRS 2006 Annual Conference, Reno, Nevada, USA
- Song, Y. H., Shan, J., 2008. Automated Rock Segmentation for Mars Exploration Rover Imagery. In: Lunar and Planetary Science Conference XXXIX, Houston, USA
- Thompson, D. R., Niekum, S., Smith, T., et al., 2005a. Automatic Detection and Classification of Features of Geologic Interest. In: Proceedings of IEEE Aerospace Conference, Montana, USA
- Thompson, D. R., Smith, T., Wettergreen, D., 2005b. Data Mining during Rover Traverse: From Images to Geologic Signatures. In: Proceedings of 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space, USA, http://www.ri.cmu.edu/pub_files/pub4/thompon_david_r_2005_3/thompson_david_r_2005_3.pdf
- Thompson, D. R., Castano, R., 2007. Performance Comparison of Rock Detection Algorithms for Autonomous Planetary Geology. Aerospace, IEEE, USA, IEEEAC Paper No. 1251, http://www.davidraythompson.com/publica-tions/2007_IEEEAerospace_Thompson.pdf
- Wagstaff, K. L., Castano, R., Dolinar, S., et al., 2004. Science-Based Region-of-Interest Image Compression. In: Proceedings of 35th Lunar and Planetary Science Conference, League City, Texas, USA, http://www.litech.org/~wkiri/Papers/wagstaff-lpsc04.pdf
- Wen, Z. Q., Cai, Z. X., 2007. Convergence Analysis of Mean Shift Algorithm. Journal of Software, 18(2): 205–212, doi:10.1360/jos180205 (in Chinese with English Abstract) · DOI
- Wu, K. L., Yang, M. S., 2007. Mean Shift-Based Clustering. Pattern Recognition, 40(11): 3035–3052 · DOI
- Xu, C. Y., Prince, J. L., 1997. Gradient Vector Flow: A New External Force for Snakes. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 66–71
Cited by
Sorted by citations
Rock Segmentation in the Navigation Vision of the Planetary Rovers
Kuang, B., Wisniewski, M., Rana, Z. A., & Zhao, Y. (2021) · Mathematics · doi:10.3390/math9233048 · Cited by 31
Kuang, B., Gu, C., Rana, Z. A., Zhao, Y., Sun, S., & Nnabuife, S. G. (2022) · Sensors · doi:10.3390/s22218393 · Cited by 15
Metadata
- Authors
- Di, K., Yue, Z., Liu, Z., & Wang, S.
- Affiliations
- Chinese Academy of Sciences (CN)
- Beijing Institute of Technology (CN)
- Corresponding author
- Di, Kaichang
- Venue
- Journal of Earth Science
- Published
- 2013-02
- Volume
- 24
- Issue
- 1
- Pages
- 125-135
- ISSN
- 1002-0705 (ISSN-L)
- 1674-487X
- 1867-111X
- OpenAlex
- W2314261068
- Cited by
- 42
- References
- 1
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 7 · 2023: 6 · 2022: 5 · 2021: 4 · 2019: 5 · 2018: 3 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 1 · 2013: 1
- FWCI
- 1.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Earth Science (publishedVersion)
- Journal of Earth Science
- Topics
- Physical Sciences › Earth and Planetary Sciences › Space and Planetary Science › Planetary Science and Exploration
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Object Detection Techniques
- Physical Sciences › Earth and Planetary Sciences › Geology › 3D Surveying and Cultural Heritage
- Keywords
- rock detection, 3D point clouds, Mars, mean shift segmentation, Navcam, Pancam, object-based image analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
