Exploring the impacts of pseudo-random number generators on sub-pixel classification

GIScience and Remote Sensing

Volumn 45, Issue 4, 2008, Pages 471-489

  Makido, Yasuyo K ^a   Messina, Joseph P ^b   Shortridge, Ashton M ^b  

^a NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE PROCESSING; MAP; PIXEL;

EID: 65749092506     PISSN: 15481603     EISSN: None     Source Type: Journal    
DOI: 10.2747/1548-1603.45.4.471     Document Type: Article

References (36)

1. Atkinson, P. M., 1997, "Mapping Sub-pixel Boundaries from Remotely Sensed Images," in Innovations in GIS 4, Kemp, Z. (Ed.), London, UK: Taylor & Francis, 166-180.
2. Atkinson, P. M., 2001, "Super-Resolution Target Mapping from Soft-Classified Remotely Sensed Imagery," Proceedings of the 6th International Conference on GeoComputation, 24-26 September 2001, Brisbane, Australia, [http://www.geocomputation.org/2001/papers/ atkinson.pdf], last accessed February 13, 2008.
3. Atkinson, P. M., 2005, "Sub-pixel Target Mapping from Soft-Classified, Remotely Sensed Imagery," Photogrammetric Engineering & Remote Sensing, 71(7):839-846.
4. Brown, D. G., Riolo, R., Robinson, D. T., North, M., and W. Rand, 2005, "Spatial Process and Data Models: Toward Integration of Agent-Based Models and GIS," Journal of Geographical Systems, 7:25-47 [DOI: 10.1007/s10109-005-0148-5].
5. Burrough, P. A., Van Gaans, P. F. M., and R. A. MacMillan, 2000, "High-Resolution Landform Classification Using Fuzzy k-means," Fuzzy Sets and Systems, 113(1):37-52.
6. Burt, J. E. and G. M. Barber, 1996, Elementary Statistics for Geographers, 2nd Ed., New York, NY: The Guilford Press.
7. Congalton, R. G. and K. Green, 1999, Assessing the Accuracy of Remote Sensed Data: Principles and Practices, New York, NY: Lewis Publishers.
8. Deutsch, C. V. and A. G. Journel, 1992, GSLIB: Geostatistical Software Library and User's Guide, New York, NY: Oxford University Press.
9. Ferrenberg, A. M., Landau, D. P., and Y. J. Wong, 1992, "Monte Carlo Simulations: Hidden Errors in 'Good' Random Number Generators," Physical Review Letters, 69:3382-3384.
10. Foody, G. M., 2002, "Status of Land Cover Classification Accuracy Assessment," Remote Sensing of Environment, 80:185-201.
11. Goovaerts, P., 1999, "Geostatistics in Soil Science: State of the Art and Perspectives," Geoderma, 89:1-45.
12. Goovaerts, P., 2000, "Estimation or Simulation of Soil Properties? An Optimization Problem with Conflicting Criteria," Geoderma, 97:165-186.
13. Hellekalek, P., 1998, "Good Random Number Generators Are (not so) Easy to Find," Mathematics and Computers in Simulation, 46:485-505.
14. Heuvelink, G. B. and P. A. Burrough, 1993, "Error Propagation in Cartographic Modelling Using Boolean Logic and Continuous Classification," International Journal of Geographical Information Systems, 7(3):231-246.
15. Holmes, K. W., Chadwick, O. A., and P. C. Kyriakidis, 2000, "Error in a USGS 30-Meter Digital Elevation Model and its Impact on Terrain Modeling," Journal of Hydrology, 233:154-173.
16. Jensen, J. R., 1996, Introductory Digital Image Processing: A Remote Sensing Perspective, Upper Saddle River, NJ: Prentice Hall.
17. Knuth, D. E., 1981, The Art of Computer Programming, 2nd Ed., Reading, MA: Addison-Wesley.
18. L'Ecuyer, P., 1988, "Efficient and Portable Combined Random Number Generators," Communications of the ACM, 31 (6): 742-774.
19. Lillesand, T. M., Kiefer, R. W. and J. W. Chapman, 2004, Remote Sensing and Image Interpretation, 5th Ed., New York, NY: John Wiley & Sons.
20. Makido, Y., Shortridge, A. M. and J. P. Messina, 2007, "Assessing Alternatives for Modeling the Spatial Distribution of Multiple Land Cover Classes at Sub-pixel Scales," Photogrammetric Engineering and Remote Sensing, 73(8):935-943.
21. Mandelbrot, B. B., 1983, The Fractal Geometry of Nature, New York, NY: Freeman.
22. Mertens, K. C., Verbeke, L. P. C., Ducheyne, E. I. and R. R. De Wulf, 2003, "Using Generic Algorithms in Sub-pixel Mapping," International Journal of Remote Sensing, 24(21):4241-4247.
23. Messina, J. P., Delamater, P. L., Hupy, C. M. and Y. K. Makido, 2007, "Neutral Models and the Deviation from Neutral Pattern Metric," Ecological Informatics, 2(1):43-47.
24. Openshaw, S., 1989, "Learning to Live with Errors in Spatial Databases," in The Accuracy of Spatial Databases, Goodchild, M. F. and S. Gopal (Eds.), London, UK: Taylor and Francis, 263-276.
25. Park, S. K. and K. W. Miller, 1988, "Random Number Generators: Good Ones are Hard to Find,"Communications of the ACM, 31 (10): 1192-1201.
26. Pearson, S. M. and R. H. Gardner, 1997, "Neutral Models: Useful Tools for Understanding Landscape Patterns," in Wildlife and Landscape Ecology: Effects of Pattern and Scale, Bissonette, J. A. (Ed.), New York, NY: Springer-Verlag, 215-230.
27. Press, W. H., Teukolsky, S. A., Vetterling, W. T. and B. P. Flannery, 2002, Numerical Recipes in C++: The Art of Scientific Computing, Cambridge, UK: Cambridge University Press, 278-331.
28. Santner, T. J., Williams, B. J., and W. I. Notz, 2003, The Design and Analysis of Computer Experiments, New York, NY: Springer-Verlag.
29. Saupe, D., 1988, "Algorithms for Random Fractals," in The Science of Fractal Images, Petigen, H-O. and D. Saupe (Eds.), New York, NY: Springer-Verlag, 71-113.
30. Stauffer, D. and A. Aharony, 1992, Introduction to Percolation Theory, 2nd ed., London, UK: Taylor and Francis.
31. Tatem, A. J., Lewis, H. G., Atkinson, P. M., and M. S. Nixon, 2001, "Super-Resolution Target Identification from Remotely Sensed Images Using a Hopfield Neural Network," IEEE Transactions on Geoscience and Remote Sensing, 39:781-796.
32. Tatem, A. J., Lewis, H. G., Atkinson, P. M. and M. S. Nixon, 2002, "Super-Resolution Land Cover Pattern Prediction Using a Hopfield Neural Network," Remote Sensing of Environment, 79:1-14.
33. Tatem, A. J., Lewis, H. G., Atkinson, P. M. and M. S. Nixon, 2003, "Increasing the Spatial Resolution of Agricultural Land Cover Maps Using a Hopfield Neural Network," International Journal of Geographical Information Science, 17(7):647-672.
34. Van Niel, K. and S. W. Laffan, 2003, "Gambling with Randomness: The Use of Pseudo - Random Number Generators in GIS," International Journal of Geographical Information Science, 17(1):49-68.
35. Verhoeye, J. and R. De Wulf, 2002, "Land Cover Mapping at Sub-pixel Scales Using Linear Optimization Techniques," Remote Sensing of Environment, 79:96-104.
36. With, K. A. and A. W. King, 1997, "The Use and Misuse of Neutral Landscape Models in Ecology," Oikos, 79:219-229.