SAR Image segmentation using kernel density estimation on region adjacency graph

APSAR 2009 - 2009 Asia-Pacific Conference on Synthetic Aperture Radar, Proceedings

Volumn , Issue , 2009, Pages 668-671

  Zhang, Daming ^a,b   Fu, Maosheng ^a   Luo, Bin ^a  

^a ANHUI UNIVERSITY   (China)

^b ANHUI JIANZHU UNIVERSITY   (China)

Author keywords

Image segmentation; Kernel density estimation (KDE); Mean shift (MS); Region adjacency graph (RAG); Synthetic aperture radar (SAR)

Indexed keywords

KERNEL DENSITY ESTIMATION; MEAN SHIFT; NOVEL METHODS; ORIGINAL IMAGES; REALTIME PROCESSING; REGION ADJACENCY GRAPH (RAG); REGION ADJACENCY GRAPHS; SAR IMAGE SEGMENTATION; SAR IMAGES; SYNTHETIC APERTURE RADAR IMAGE SEGMENTATIONS;

DIGITAL IMAGE STORAGE; ELECTRIC SPARK GAPS; ESTIMATION; IMAGE CLASSIFICATION; IMAGING SYSTEMS; PROBABILITY DENSITY FUNCTION; RADAR; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES; VECTOR QUANTIZATION;

IMAGE SEGMENTATION;

EID: 77949595756     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/APSAR.2009.5374115     Document Type: Conference Paper

References (15)

1. R. O. Duda, P. E. Hart and D. G. Stork. Pattern Classification, second. Wiley, New York,2001
2. G. J. McLachlan and D. Peel, Finite Mixture Models. Wiley, New York,2000
3. A.E.Zaart, D. Ziou, S. Wang, and Q. Jiang, "Segmentation of SAR Images", pattern Recognition, Vol.35, No.3, 2002, pp.713-724.
4. P.F. Felzenszwalb and D.P. Huttenlocher, "Efficient Graph-based Image Segmentation", International journal of computer vision, Vol. 59, No. 2, 2004, pp.167-181.
5. Xia, G.-S. He, C. and Sun, H. "Integration of Synthetic Aperture Radar Image Segmentation Method Using Markov Random Field on Region Adjacency Graph", IEE Proceedings-Radar, Sonar & Navigation, Vol. 1, No. 5, 2007, pp.348-33.
6. X. Zhang, L. Jiao, F. Liu, L. Bo and M. Gong, "Spectral Clustering Ensemble Applied to SAR Image Segmentation", IEEE Transactions on Geosciences and Remote Sensing, Vol. 46, No.7, 2008, pp. 2126-2136.
7. J. Shi and J. Malik, "Normalized Cuts and Image Segmentation", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, No. 8, 2000, pp. 888-905.
8. A. Ng, M. Jordan, and Y. Weiss, "On Spectral Clustering: Analysis and an Algorithm", Advances in Neural Information Processing System. Vol.14, 2001, pp.849-856, MIT Press, Cambridge.
9. L. Zelnik-Manor and P. Perona, "Self-tuning Spectral Clustering", Advances in Neural Information Processing System Vol.17, 2005, pp. 1601-1608.
10. T. Xiang and S. Gong, "Spectral Clustering with Eigenvector Selection", Pattern Recognition, Vol. 41, No. 3, 2008, pp. 1012-1029.
11. Comaniciu Dorin and Peter Meer. "Mean Shift: A Robust Approach toward Feature Space Analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.24, No.5, 2002, pp. 603-619.
12. A. K. Jain and F.Farrokhnia., "Unsupervised texture segmentation using Gabor filters", Pattern Recognition, Vol.24, No.12, 1991, pp.1167-1186.
13. Douglas B. West. Introduction to Graph Theory, China Machine Press, 2004
14. Parzen E. "On Estimation of a Probability Density and Mode," Annals of Mathematical Statistics, Vol.33, No.3, 1962, pp.1065-1076.
15. C. Yang, R. Duraiswami and L. Davis, "Efficient Kernel Machines Using the Improved Fast Gauss Transform", Advances in Neural Information Processing Systems. Vol.17, 2005, pp.1561-1568, MIT Press, Cambridge.