Baltic sea ice SAR segmentation and classification using modified pulse-coupled neural networks

IEEE Transactions on Geoscience and Remote Sensing

Volumn 42, Issue 7, 2004, Pages 1566-1574

  Karvonen, Juha A ^a  

^a FINNISH INSTITUTE OF MARINE RESEARCH   (Finland)

Author keywords

Baltic Sea ice; Classification; Pulse coupled neural network (PCNN); Radarsat 1; Segmentation; Synthetic aperture radar (SAR)

Indexed keywords

ALGORITHMS; DATA REDUCTION; HYDROLOGY; MARINE ENGINEERING; NEURAL NETWORKS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; SEA ICE;

BALTIC SEA ICE; CLASSIFICATION; PULSE-COUPLED NEURAL NETWORK; RADARSET-1;

SYNTHETIC APERTURE RADAR;

EID: 3843050224     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2004.828179     Document Type: Article

References (37)

1. R. Eckhorn, H. J. Reitboeck, M. Arndt, and P. Dicke, "Feature linking via synchronization among distributed assemblies: Simulations of results from cat visual cortex," Neural Comput., vol. 2, pp. 293-307, 1990.
2. I. A. Rybak, N. A. Shevtsova, and V. A. Sandier, "The model of neural network visual processor," Neurocomputing, vol. 4, pp. 93-102, 1992.
3. M. Mäkynen and M. Hallikainen, "Investigation of C-band and X-band backscattering signatures of the Baltic Sea ice," Int. J. Remote Sens., vol. 25, no. 11, pp. 2061-2086, 2004.
4. C. Oliver, "Information from SAR images," J. Phys. D: Appl. Phys., vol. 24, pp. 1493-1514, 1991.
5. S. Geman and D. Geman, "Stochastic relaxation, gibbs distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-6, pp. 721-741, 1984.
6. J. Besag, "On the statistical analysis of dirty pictures," J. R. Statis. Soc. B, vol. 48, no. 3, pp. 259-302, 1986.
7. R. Fjortoft, Y. Delignon, W. Pieczynski, M. Sigelle, and F. Tupin, "Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields," IEEE Trans. Geosci. Remote Sensing, vol. 41, pp. 675-686, Mar. 2003.
8. M. Davison, "Development of neural network techniques for the classification of multi-temporal ERS-1 SAR imagery with respect to agricultural applications," in Proc. 1st ERS-1 Pilot Project Workshop. Noordwijk, The Netherlands, 1994.
9. J. Park and J. W. Sandberg, "Universal approximation using radial basis functions," Neural Comput., vol. 3, no. 2, pp. 246-257, 1991.
10. T. Kohonen, Self-Organization and Associative Memory. Berlin, Germany: Springer-Verlag, 1988.
11. J. J. Hopfield, "Neural networks and physical systems with emergent collective computational abilities," in Proc. National Academy of Sciences. Washington, DC, 1982, pp. 2554-2558.
12. D. Kovacevic and S. Loncaric, "Radial basis function-based image segmentation using a receptive field," in Proc. IEEE Symp. Computer-Based Medical Systems, 1997, pp. 126-130.
13. C. C. Reyes-Aldasoro and A. L. Aldeco, "Image segmentation and compression using neural networks," in Proc. Advances Artificial Perception Robotics, 2000.
14. J. Ruiz-del-Solar and D. Kottow, "Neural-based architectures for the segmentation of textures," in Proc. 15th Int. Conf. Pattern Recognition, vol. 3, 2000, pp. 1092-1095.
15. D. Cheng, Q. Pu, K. Cheng, and H. Burkhardt, "Possibilistic hopfield neural network on CT brain hemorrrfage image segmentation," in Proc. 4th Asian Conf. Computer Vision, 2000, pp. 871-876.
16. H. S. Ranganath and G. Kuntimad, "Image segmentation using pulse coupled neural networks," in Proc. IEEE Int. Conf. Image Processing, 1994, pp. 1285-1290.
17. A. N. Skourikhine, L. Prasad, and B. R. Schlei, "Neural network for image segmentation, applications and science of neural networks, fuzzy systems and evolutionary computation III," Proc. SPIE, vol. 4120, 2000.
18. J. Karvonen and M. Similä, "Pulse-coupled neural networks for sea ice SAR image segmentation and classification," Proc. SPIE, vol. 3728, pp. 333-350, 1999.
19. J.-S. Lee and I. Jurkevich, "Segmentation of SAR images," IEEE Trans. Geosci. Remote Sensing, vol. 27, pp. 674-680, Nov. 1989.
20. H. Skriver, "Extraction of sea ice parameters from synthetic aperture radar images," Lic. Tech. thesis, Tech. Univ. Denmark, Lyngby, 1989.
21. R. G. White, "Change detection in SAR imagery," Int. J. Remote Sensing, vol. 12, pp. 339-360, 1991.
22. R. Cook, I. McConnell, and C. J. Oliver, "MUM (merge using moments) segmentation of SAR images," Proc. SPIE, vol. 2316, pp. 92-103, 1994.
23. G. Fan and X.-G. Xia, "A joint multi-context and multi-scale approach to Bayesian image segmentation," IEEE Trans. Geosci. Remote Sensing, vol. 39, pp. 2680-2688, Dec. 2001.
24. P. C. Smits and S. G. Dellepiane, "Synthetic aperture radar image segmentation by a detail preserving Markov random field approach," IEEE Trans. Geosci. Remote Sensing, vol. 35, pp. 844-857, July 1997.
25. _, "Discontinuity-adaptive Markov random field model for the segmentation of intensity SAR images," IEEE Trans. Geosci. Remote Sensing, vol. 37, pp. 627-631, Jan. 1999.
26. M. Mäkynen, T. Manninen, M. Similä, J. Karvonen, and M. Hallikainen, "Incidence angle dependence of the statistical properties of the C-band HH-polarization backscattering signatures of the Baltic Sea ice," IEEE Trans. Geosci. Remote Sensing, vol. 40, pp. 2593-2605, Dec. 2002.
27. J. Karvonen, M. Similä, and M. Mäkynen, "An iterative incidence angle normalization algorithm for sea ice SAR images," in Proc. IGARSS, 2002.
28. A. Carlström and L. M. H. Ulander, "Validation of backscatter models for level and deformed sea ice in ERS-1 SAR images," Int. J. Remote Sens., vol. 16, no. 17, pp. 3245-3266, 1995.
29. A. T. Manninen, "Backscattering from a dielectric surface with a continuous roughness spectrum, MERI," Finnish Inst. Marine Res., Helsinki, Finland, vol. 23, Report Series of FIMR, 1996.
30. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. R. Stat. Soc., vol. 39, no. 1, pp. 1-38, 1977.
31. T. Lindblad and J. M. Kinser, Image Processing Using Pulse-Coupled Neural Networks. Berlin, Germany: Springer-Verlag, 1998.
32. G. Kuntimad and H. S. Ranganath, "Perfect image segmentation using pulse coupled neural networks," IEEE Trans. Neural Networks, vol. 10, pp. 591-598, May 1999.
33. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Trans. Pattern Anal. Machine Intell., vol. 12, pp. 629-639, July 1990.
34. Y. Yu and S. T. Acton, "Speckle reducing anisotropic diffusion," IEEE Trans. Image Processing, vol. 11, pp. 1260-1270, Nov. 2002.
35. A. Seinä, H. Grönvall, S. Kalliosaari, J. Vainio, P. Eriksson, and J.-E. Lundqvist, "WMO sea ice nomenclaturem: Terminology for the Baltic Sea in English, Finnish and Swedish," Finnish Inst. Marine Res., Helsinki, Finland, MERI Rep. 43, 2001.
36. K. Steffen and J. Heinrichs, "Feasibility of sea ice typing with synthetic aperture radar (SAR) merging of Landsat Thematic Mapper and ERS 1 SAR satellite imagery," J. Geophys. Res., vol. 99, no. C11, pp. 22413-22424, 1994.
37. F. M. Fetterer, D. Gineris, and R. Kwok, "Sea ice type maps from Alaska synthetic aperture radar facility imagery: An assessment," J. Geophys. Res., vol. 99, no. C11, pp. 22443-22458, 1994.