Machine learning for automatic mapping of planetary surfaces

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2007, Pages 1807-1812

  Stepinski, Tomasz F ^a   Ghosh, Soumya ^b   Vilalta, Ricardo ^c,d  

^a LUNAR AND PLANETARY INSTITUTE   (United States)

^b UCB 450   (United States)

^c University of Houston   (United States)

^d UNIDAD GUADALAJARA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; GEOMORPHOLOGY; PLANETARY SURFACE ANALYSIS;

AUTOMATIC MAPPING; GEOMORPHIC MAPPING; PLANETARY SURFACES;

SUPPORT VECTOR MACHINES;

EID: 36348961837     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Adams, R.; and Bischof, L. 1994. Seeded Region Growing. IEEE Trans. Pattern Analysis and Machine Intelligence. 16(6):641-647.
2. Baatz, M.; and Schäpe, A. 2000. Multiresolution Segmentation: An Optimization Approach for High Quality Multi-Scale Image Segmentation. In Strobl, J. et al. (eds.): Angewandte Geographische Infor-mationsverarbeitung XII. Wichmann, Heidelberg. 12-23.
3. Belongie, S.; Carson, C.; Greenspan, H.; and Malik, J. 1998. Color and Texture-based Image Segmentation using EM and its Application to Content-Based Image Retrieval. In Proc. of Sixth IEEE Int. Conf. Comp. Vision, 675-682.
4. Breiman, L. 1996. Bagging predictors, Machine learning, 24(2):123-140.
5. Bue, B.D.; and Stepinski, T.F. 2006. Automated Classification of Landforms on Mars. Computers & Geoscience 32(5):604-614.
6. Deng, Y.; and Manjunath, B.S. 2001. Unsupervised Segmentation of Color-Texture Regions in Images and Video. IEEE Trans. Pattern Analysis and Machine Intelligence 23(8):800-810.
7. Dragut, L.; and Blaschke, T. 2006. Automated Classification of Landform Elements Using Object-Based Image Analysis, Geomorphology 81:330-344.
8. Feng, H.; Castanon, D.A.; and Karl, W.C. 2001. A Curve Evolution Approach for Image Segmentation Using Adaptive Flows. Proc of Eight IEEE Int. Conf. Comp. Vision 494-499.
9. Gallant, A.L.; Brown, D.D.; and Hoffer, R.M. 2005. Automated Mapping of Hammond's Landforms, IEEE Geoscience and Remote Sensing Letters 2(4):384-288.
10. Hengl, T. 2003. Pedometric Mapping: Bridging the Gaps Between Conventional and Pedometric Approaches. Ph.D. diss., Wageningen University.
11. Landgrebe, D. 1997. The Evolution of Landsat Data Analysis. Photogrammetric Ingeenering and Remote Sensing, LXIII(7):859-867.
12. Landgrebe, D. 1999. Information Extraction Principles and Methods for Multispectral and Hyperspectral Image Data, In Information Processing for Remote Sensing, ed. C.H., Chen: World Scientific Publishing.
13. Nock, R.; and Nielsen, F. 2004. Stochastic Region Merging. IEEE Trans. Pattern Analysis and Machine Intelligence, 26(11):1452-1458.
14. Quinlan, J.R. 1993. C4.5: Programs for Machine Learning, San Francisco: Morgan Kaufmann.
15. Remmel, T.K.; and Csillag, F. 2006. Mutual Information Spectra for Comparing Categorical Maps. Inter. Journal of Remote Sensing 27(7): 1425-1452.
16. Shi, J.; and Malik, J. 2000. Normalized Cuts and Image Segmentation. IEEE Trans. Pattern Analysis and Machine Intelligence 22(8):888-905.
17. Smith, D.; Neumann, G.; Arvidson, R.E.; Guinness, E.A.; and Slavney, S. 2003. Mars Global Surveyor Laser Altimeter Mission Experiment Gridded Data Record, NASA Planetary Data System, MGS-M-MOLA-5-MEGDR-L3-V1.0.
18. Stepinski, T.F.; and Vilalta, R. 2005. Digital Topography Models for Martian Surfaces. IEEE Geoscience and Remote Sensing Letters 2(3):260-264.
19. Stepinski, T.F; Ghosh, S.; and Vilalta, R. 2006. Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification, In Proceedings of the International Conference on Discovery Science:255-266.
20. Tanaka, K.L. 1994. The Venus Geologic Mappers' Handbook, U.S. Geol. Surv. Open File Rep.:99-438.
21. Vapnik, V.N. 1995. The Nature of Statistical Learning Theory, Springer.
22. Wang, J.P. 1998. Stochastic Relaxation on Partitions with Connected Components and its Application to Image Segmentation. IEEE Trans. Pattern Analysis and Machine Intelligence 20(6):619-636.
23. Wilhelms, D.E. 1990. Geologic Mapping. Planetary Mapping, Greeley. R.; and Batson, R. Eds. Cambridge, UK: Cambridge Univ. Press, 209-260.
24. Witten, I. H.; and Frank, E. 2000. DataMining: Practical Machine Learning Tools and Techniques with Java Implementations. Academic Press, London U.K.