Segmentation of remote-sensing images by incremental neural network

Pattern Recognition Letters

Volumn 26, Issue 8, 2005, Pages 1096-1104

  Kurnaz, Mehmet Nadir ^a   Dokur, Zümray ^a   Ölmez, Tamer ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Image segmentation; Remote sensing; Self organised map

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; MAPS; MATRIX ALGEBRA; NEURAL NETWORKS; REMOTE SENSING; STATISTICAL METHODS; VECTORS;

DATA SETS; MAMMOGRAMS; PIXELS; SELF-ORGANIZED MAP;

IMAGE SEGMENTATION;

EID: 17644425298     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2004.10.004     Document Type: Article

References (26)

1. Arrowsmith, M.J., Varley, M.R., Picton, P.D., Heys, J.D., 1999. Hybrid neural network system for texture analysis. In: 7th Internat. Conf. on Image Processing and its Applications, Conf. Publ. no. 465, vol. 1, pp. 339-343
2. S. Berberoglu, C.D. Lloyd, P.M. Atkinson, and P.J. Curran The integration of spectral and textural information using neural networks for land cover mapping in the Mediterranean Comput. Geosci. 26 2000 385 396
3. L. Bruzzone, and D.P. Fernandez An incremental-learning neural network for the classification of remote-sensing images Pattern Recognition Lett. 20 1999 1241 1248
4. Chen, Z., Feng, T.J., Houkes, Z., 1999. Texture segmentation based on wavelet and Kohonen network for remote sensed images. In: IEEE-SMC Conf., vol. 6, pp. 816-821
5. B. Dasarathy, and E. Holter Image characterization based on joint gray level run length distributions Pattern Recognition Lett. 12 1991 497 502
6. Dokur, Z., Ölmez, T., 2000. Classification of magnetic resonance images using a novel neural network. In: IEEE-EMBS Asia Pacific Conf. on Biomedical Engineering, Hangzhou, China
7. E.J. Feleppa, A. Kalisz, J.B.S. Melgar, F.L. Lizzi, T. Liu, A.L. Rosado, M.C. Shao, W.R. Fair, Y. Wang, M.S. Cookson, V.E. Reuter, and W.D.W. Heston Typing of prostate tissue by ultrasonic spectrum analysis IEEE Trans. Ultrason. Ferroelect. Frequency Control 43 4 1996 609 619
8. G. Giacinto, F. Roli, and L. Bruzzone Combination of neural and statistical algorithms for supervised classification of remote-sensing images Pattern Recognition Lett. 21 2000 385 397
9. N. Haering, and N.D. Lobo Features and classification methods to locate deciduous trees in images Computer Vision and Image Understanding 75 1-2 1999 133 149
10. R.M. Haralick, K. Shanmugan, and I. Dinstein Texture feature for image classification IEEE Trans. Systems Man Cybernet. 3 1973 610 621
11. H.S. Hosseini, and R. Safabakhsh Automatic multilevel thresholding for image segmentation by the growing time adaptive self-organizing map IEEE-PAMI 24 10 2002 1388 1393
12. A. Jozwik, S. Serpico, and F. Roli A parallel network of modified 1-NN and k-NN classifiers application to remote-sensing images classification Pattern Recognition Lett. 19 1998 57 62
13. T. Kohonen Self-Organization and Associative Memory 1988 Springer-Verlag New York
14. Kurnaz, M.N., Dokur, Z., Ölmez, T., 2001. Segmentation of ultrasound images by using an incremental self-organized map. In: 23rd Annual Internat. Conf. of the IEEE-EMBS
15. M.P. Mather Computer Processing of Remotely-Sensed Images 1999 John Wiley and Sons Chichester
16. C.M. Olmo, and F.A. Hernandez Computing geostatistical image texture for remotely sensed data classification Comput. Geosci. 26 4 2000 373 383
17. Ölmez, T., Dokur, Z., Yazgan, E., 1996. MR image classification by the neural network and the genetic algorithms. In: 18th Annual Internat. Conf. of the IEEE-EMBS, paper no. 1039
18. J. Parkkinen, and E. Oja Detecting texture periodicity from co-occurrence matrix Pattern Recognition Lett. 11 1990 43 50
19. Qian, L.S., Xiang, L., Cheng, L.K., Liang, L.S., 1998. Tissue classification of multi-spectral MR images of brain. In: 20th Annual Internat. Conf. of the IEEE-EMBS, pp. 634-636
20. W. Qian, L.H. Li, and L.P. Clarke Image feature extraction for mass detection in digital mammography-Influence of wavelet analysis Medical Phys. 26 3 1999 402 408
21. Reza, N., Ying, S., 1991. Classification of digital angiograms using artificial neural networks. In: Annual Internat. Conf. of the IEEE-EMBS, vol. 13(3), pp. 1440-1441
22. S.B. Serpico, L. Bruzzone, and F. Roli An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images Pattern Recognition Lett. 17 1996 1331 1341
23. J. Vesanto, and E. Alhoniemi Clustering of the self-organizing map IEEE Trans. Neural Networks 11 3 2000 586 600
24. T. Villmann, E. Merenyi, and B. Hammer Neural map in remote sensing image analysis Neural Networks 16 2003 389 403
25. Vinitski, S., Mohamed, F., Gonzalez, C. et al., 1997. Fast tissue segmentation based on a 3D and 4D feature map: Comparison study. In: 19th Annual Internat. Conf. of the IEEE-EMBS, pp. 505-508
26. W. Zhang, H. Yoshida, R.M. Nishikawa, and K. Doi Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms Medical Phys. 25 6 1998 949 956