Unsupervised segmentation of spaceborne passive radar images

Pattern Recognition Letters

Volumn 20, Issue 5, 1999, Pages 485-494

  Eom, Kie B ^a  

^a George Washington University   (United States)

Author keywords

Fuzzy clustering; Multispectral image; Passive radar; Remote sensing

Indexed keywords

ALGORITHMS; FUZZY SETS; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE SEGMENTATION; LEARNING SYSTEMS; MULTISPECTRAL SCANNERS; RADAR IMAGING; REMOTE SENSING;

FUZZY CLUSTERING ALGORITHMS; MULTISPECTRAL IMAGES; SPACEBORNE PASSIVE RADAR SYSTEMS; UNSUPERVISED SEGMENTATION METHOD;

PATTERN RECOGNITION;

FUZZY MATHEMATICS; IMAGE ANALYSIS; MULTISPECTRAL IMAGE; RADAR IMAGERY; SEGMENTATION;

EID: 0032833597     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(99)00016-1     Document Type: Article

References (18)

1. Backer E., Jain A.K. A cluster performance measure based on fuzzy set decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 3(4):1981;66-75.
2. Bezdek J.C. A convergence theorem for the fuzzy ISODATA clustering algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2(1):1980;1-8.
3. Bezdek J.C., Hathaway R.J., Sabin M.J., Tucker W.T. Convergence theory for fuzzy c-means: Counterexamples and repairs. IEEE Transactions on System, Man and Cybernetics. 17(5):1987;873-877.
4. Comiso J.C. Satellite remote sensing of the arctic ocean and adjacent seas. Arctic Oceanography: Marginal Ice Zones and Continental Shelves Coastal and Estuarine Studies. 49:1995;1-50.
5. Dunn J.C. A fuzzy relative of the ISODATA process and its used in detecting compact well-separated clusters. Journal of Cybernetics. 3(3):1973;32-57.
6. Fukunaga, K., 1990. Introduction to Statistical Pattern Recognition, 2nd ed. Academic Press, New York.
7. Gath A., Geva A.B. Unsupervised optimal fuzzy clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 11(7):1989;773-781.
8. Gustafson, D.E., Kessel, W.C., 1979. Fuzzy clustering of fuzzy covariance matrix, in: Proceedings of the IEEE Conference on Decision and Control, San Diego, CA, pp. 761-766.
9. Haykin S., Currie B.W., Lewis E.O., Nickerson K.A. Surface-based radar imaging of sea ice. Proceedings of the IEEE. 73:1985;233-251.
10. Jain, A.K., Dubes, R.C., 1988. Algorithms for Clustering Data. Prentice Hall, Englewood Cliffs, NJ.
11. Krishnapuram R., Keller J. A possibilistic approach to clustering. IEEE Transactions on Fuzzy Systems. 1:1993;98-120.
12. National Snow and Ice Data Center, DMSP F11 SSM/I Brightness Temperature Grids for the Polar Regions, Vols. 1-16 and DMSP F13 SSM/I Brightness Temperature Grids for the Polar Regions, Vols. 1-8. Digital data available from nsidc@kryos.colorado.edu. Boulder, Colorado: NSIDC Distributed Active Archive Center, University of Colorado at Boulder. 1995, 1996.
13. Parkinson, C.L., 1996. Sea Ice in the Polar Regions and The Arctic Observatory. Multimedia CD ROM, NASA Goddard Space Flight Center.
14. Rose K., Gurewitz E., Fox G.C. Constrained clustering as an optimization method. IEEE Transactions on Pattern Analalysis and Machine Intelligence. 15(8):1993;785-794.
15. Sabin M.J. Convergence and consistency of fuzzy c-means/ISODATA algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence. 9(5):1987;661-668.
16. Windham M.P. Cluster validity for the fuzzy c-means clustering algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 4(4):1982;357-363.
17. Wolfe, J.H., 1970. Pattern clustering by multivariate mixture analysis, Multivariable Behavioral Research, pp. 329-350.
18. Xie X., Beni G. A validity measure for fuzzy clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 13(8):1991;841-847.