Segmentation of satellite imagery of natural scenes using data mining

IEEE Transactions on Geoscience and Remote Sensing

Volumn 37, Issue 2 II, 1999, Pages 1086-1099

  Soh, Leen Kiat ^a   Tsatsoulis, Costas ^a  

^a University of Kansas   (United States)

Author keywords

Clustering methods; Image segmentation; Natural scene analysis

Indexed keywords

ALGORITHMS; DATA MINING; IMAGE SEGMENTATION; LEARNING SYSTEMS;

IMAGE CLUSTERING;

REMOTE SENSING;

EID: 0033098902     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.752227     Document Type: Article

References (44)

1. A. J. Gow and W. B. Tucker III Sea ice in the polar regions Polar Oceanogr. Part A: Phys. Sci. pp. 47-121 1990.
2. R. G. Onstott SAR and scatterometer signatures of sea ice Geophysical Monograph 68 Remote Sensing of Sea Ice F. D. Carsey Ed. Washington DC: Amer. Geophys. Union pp. 73-104.
3. R. A. Shuchman and R. G. Onstott Remote sensing of the polar oceans Polar Oceanogr. Part A: Phys. Sci. pp. 123-169 1990.
4. K. Mikkola A remote sensing analysis of vegetation damage around metal smelters in the Kola Peninsula Russia Int. J. Remote Sensing vol. 17 no. 18 pp. 3675-3690 1996.
5. V. V. Kryuchkov Extreme anthropogenic load and the state of the North Taiga ecosystem in Air Pollutants and Acidification in Combination with Climatic Factors on Forests Soils and Waters in Northern Feenoscandia K. Kinnunen and M. Varmola Eds. Copenhagen Denmark: Nordic Council of Ministers 1990 pp. 197-205.
6. A. C. Millington P. J. Styles and R. W. Critchley Mapping forests and savannas in sub-Saharan Africa from advanced very high resolution radiometer (AVHRR) imagery in Forest-Savanna Boundaries P. A. Furley J. Proct and J. A. Ratter Eds. London U.K.: Chapman & Hall 1992 pp. 37-62.
7. J. R. G. Townshend C. Justice W. Li C. Gurney and J. McManus Global land-cover classification by remote sensing: Present capabilities and future possibilities Remote Sens. Environ. vol. 35 pp. 242-255 1991.
8. W. T. Liu and F. N. Kogan Monitoring regional draught using the vegetation condition index Int. J. Remote Sensing vol. 17 no. 14 pp. 2761-2782 1996.
9. J. Shukla C. Nobre and P. Sellers Amazon deforestation and climate change Science vol. 247 pp. 1322-1325 1990.
10. J. S. Levine Ed. Global Biomass Burning. Cambridge MA: MIT Press 1991.
11. H. Vare R. Ohtonen and J. Oksanen Effects of reindeer grazing on understory vegetation in dry pinus sylvestris forest J. Vegetal. Sci. vol. 6 pp. 523-530 1995.
12. S. Wang D. B. Elliott J. B. Campbell R. W. Erich and R. M. Haralick Spatial reasoning in remotely sensed data IEEE Trans. Geosci. Remote Sensing vol. GE-21 pp. 94-101 Jan. 1983.
13. J. C. Shi J. Dozier and H. Rott Snow mapping in alpine regions with synthetic aperture radar IEEE Trans. Geosci. Remote Sensing vol. 32 pp. 152-158 Jan. 1994.
14. J. S. Ferris and R. G. Congalton Satellite and geographic information system estimates of Colorado River Basin snowpack Photogramm. Eng. Remote Sensing vol. 55 pp. 1629-1635 1989.
15. H. Kerdiles and R. Diaz Mapping of the volcanic ashes from the 1991 Hudson eruption using NOAA-AVHRR data Int. J. Remote Sensing vol. 17 no. 11 pp. 1981-1995 1996.
16. U. M. Fayyad S. G. Djorgovski and N. Weir From digitized images to on-line catalogs: Data mining a sky survey AI Mag. vol. 17 no. 2 pp. 51-66 1996.
17. C. Ichoku A. Karnieli A. Meisels and J. Chorowicz Detection of drainage channel networks on digital satellite images Int. J. Remote Sensing vol. 17 no. 9 pp. 1659-1678 1996.
18. X. Li A method to improve classification with shape information Int. J. Remote Sensing vol. 17 no. 8 pp. 1473-1481 1996.
19. D. Haverkamp L.-K. Soh and C. Tsatsoulis A comprehensive automated approach to determining sea ice thickness from SAR data IEEE Trans. Geosci. Remote Sensing vol. 33 pp. 46-57 Jan. 1995.
20. M. Ehlers D. Greenlee T. Smith and J. L. Star Integration of remote sensing and GIS: Data and data access Photogramm. Eng. Remote Sensing vol. 57 pp. 669-676 1991.
21. T. Pavlidis Structural Pattern Recognition. New York: Springer 1977.
22. R. M. Haralick and L. G. Shapiro Computer and Robot Vision vol. II. Reading MA: Addison-Wesley 1993.
23. K. S. Fu and J. K. Mui A survey of image segmentation Pattern Recognit. vol. 13 pp. 3-16 1981.
24. R. K. Aggarwal and J. W. Bacus A multi-spectral approach for scene analysis of cervical cytology smears J. Histochem. Cytochem. vol. 25 pp. 668-680 1977.
25. R. M. Haralick and I. Dinstein A spatial clustering procedure for multiimage data IEEE Trans. Circuits Syst. vol. CAS-22 pp. 440-450 1975.
26. M. Goldberg and S. Shlien A cluster scheme for multispectral images IEEE Trans. Syst. Man Cybern. vol. SMC-8 pp. 86-92 Jan. 1978.
27. D. K. Panjwami and G. Healey Markov random field models for unsupervised segmentation of textured color images IEEE Trans. Pattern Anal. Machine Intell. vol. 17 pp. 939-954 Oct. 1995.
28. H. H. Nguyen and P. Cohen Gibbs random fields fuzzy clustering and the unsupervised segmentation of textured images CVGIP: Graph. Models Image Processing vol. 55 no. 1 pp. 1-19 1993.
29. F. S. Cohen and Z. G. Fan Maximum likelihood unsupervised textured image segmentation CVGIP: Graph. Models Image Processing vol. 54 no. 3 pp. 239-251 1992.
30. D. M. Smith Speckle reduction and segmentation of synthetic aperture radar images Int. J. Remote Sensing vol. 17 no. 11 pp. 2043-2057 1996.
31. J. N. Kapur P. K. Sahoo and A. K. C. Wong A new method for graylevel picture thresholding using the entropy of the histogram Comput. Vision Graph. Image Processing vol. 29 pp. 273-285 1985.
32. J. Kittler and J. Illingworth Minimum error thresholding Pattern Recognit. vol. 19 pp. 41-47 1986.
33. T. Ridler and S. Calvard Picture thresholding using an iterative selection method IEEE Trans. Syst. Man Cybern. vol. 8 pp. 630-632 June 1978.
34. S. Cho R. Haralick and S. Yi Improvement of Kittler and Illingworth's minimum error thresholding Pattern Recognit. vol. 22 pp. 609-617 1989.
35. B. W. Dasarathy Ed. Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques. Los Alamitos CA: IEEE Comput. Soc. 1990.
36. R. W. Conners and C. A. Harlow A theoretical comparison of texture algorithms IEEE Trans. Pattern Anal. Machine Intell. vol. PAMI-2 pp. 204-222 Mar. 1980.
37. J. S. Weszka C. R. Dyer and A. Rosenfeld A comparative study of texture measures for terrain classification IEEE Trans. Syst. Man Cybern. vol. SMC-6 pp. 269-285 Apr. 1976.
38. R. M. Haralick K. Shanmugan and I. Dinstein Texture features for image classification IEEE Trans. Syst. Man Cybern. vol. SMC-3 pp. 610-521 June 1973.
39. J. H. Gennari P. Langley and D. Fisher Models of incremental concept formation in Machine Learning: Paradigms and Methods J. Carbonell Eds. Cambridge MA: MIT Press/Elsevier 1990 pp. 11-61.
40. D. H. Fisher Knowledge acquisition via incremental conceptual clustering Machine Learning vol. 2 pp. 139-172 1987.
41. K. Thompson and P. Langley Concept formation in structured domains in Concept Formation: Knowledge and Experience in Unsupervised Learning D. H. Fisher M. Pazzani and P. Langley Eds. San Mateo CA: Morgan Kaufmann 1991 pp. 127-161.
42. K. Thompson and K. McKusick COBWEB/3: A portable implementation Ames Res. Center Tech. Rep. FIA-90-6-18-2 version 1.4 1993.
43. M. Gluck and J. Corter Information uncertainty and the utility of categories in Proc. 7th Anna. Conf. Cognitive Sci. Soc. Irvine CA 1985 pp. 283-287.
44. T. Y. Young and G. Coraluppi Stochastic estimation of a mixture of normal density functions using an information criterion IEEE Trans. Inform. Theory vol. IT-16 pp. 258-263 May 1970.