Multiregion level-set partitioning of Synthetic Aperture Radar images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 27, Issue 5, 2005, Pages 793-800

  Ben Ayed, Ismail ^a   Mitiche, Amar ^a   Belhadj, Ziad ^b  

^a INSTITUT NATIONAL DE LA RECHERCHE SCIENTIFIQUE   (Canada)

^b UNIVERSITY OF CARTHAGE   (Tunisia)

Author keywords

Active contours; Image segmentation; Level sets; Statistical modeling; Synthetic aperture radar

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MATHEMATICAL MODELS; OPTIMIZATION; PARTIAL DIFFERENTIAL EQUATIONS; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS; SYNTHETIC APERTURE RADAR;

ACTIVE CONTOURS; LEVEL SETS; MULTIREGION LEVEL SET PARTITIONING; STATISTICAL MODELING;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; TELECOMMUNICATION; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; RADAR; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 18144382619     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2005.106     Document Type: Article

References (32)

1. T.L. Toan, F. Ribbles, L.F. Wang, N. Floury, K.H. Ding, J.A. Kong, M. Fujita, and T. Kurosu, "Rice Crop Mapping and Monitoring Using ERS-1 Data Based on Experiment and Modeling Results," IEEE Trans. Geoscience Remote Sensing, vol. 35, no. 1, pp. 41-55, Jan. 1997.
2. F. Tupin, H. Maître, J.F. Mangin, J.M. Nicolas, and E. Peshersky, "Detection of Linear Structures in SAR Images: Application to Road Network Extraction," IEEE Trans. Geoscience Remote Sensing, vol. 36, no. 2, pp. 434-435, Mar. 1998.
3. P. Moreels and S.E. Smrekar, "Watershed Identification of Polygonal Patterns in Noisy Sar Images," IEEE Trans. Image Processing, vol. 12, no. 7, pp. 740-750, July 2003.
4. C.J. Oliver, I. McConnell, and R.G. White, "Optimum Edge Detection in SAR," Proc. SPIE Conf. Satellite Remote Sensing, pp. 152-163, 1995.
5. R. Fjørtoft, A. Lopés, P. Marthon, and E. Cubero-Castan, "An Optimum Multiedge Detector for SAR Image Segmentation," IEEE Trans. Geoscience Remote Sensing, vol. 36, no. 3, pp. 793-802, 1998.
6. A.C. Bovik, "On Detecting Edge in Speckle Imagery," IEEE Trans. Acoustic Speech and Signal Processing, vol. 36, no. 10, pp. 1618-1627, Oct. 1988.
7. R. Tousi, A. Lopés, and P. Bousquet, "A Statistical and Geometrical Edge Detector for SAR Images," IEEE Trans. Geoscience and Remote Sensing, vol. 26, no. 6, pp. 764-737, Nov. 1988.
8. O. Germain and P. Réfrégier, "On the Bias of the Likelihood Ratio Edge Detector for SAR Images," IEEE Trans. Geoscience and Remote Sensing, vol. 38, no. 3, pp. 1455-1457, May 2000.
9. L. Vincent and P. Soille, "Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 6, pp. 583-598, June 1991.
10. D.M. Smith, "Speckle Reduction and Segmentation of Synthetic Aperture Radar Images," Int'l J. Remote Sensing, vol. 17, no. 11, pp. 2043-2057, 1996.
11. R.F. White, "Change Detection in SAR Imagery," Int'l J. Remote Sensing, vol. 12, no. 2, pp. 339-360, 1991.
12. V.S. Frost, K.S. Shanmugan, and J.C. Holtzman, "A Model for Radar Images and Its Application to Adaptative Filtering of Multiplicative Noise," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 4, no. 2, pp. 157-166, Mar. 1982.
13. Z. Belhadj and S. Ben Gebara, "Adaptative Speckle Reduction Using Combined Multiresolution Analysis and Prediction Technique," Int'l J. Remote Sensing, vol. 23, no. 11, pp. 2236-2282, 2002.
14. S.C. Zhu and A. Yuille, "Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 9, pp. 884-900, Sept. 1996.
15. C. Samson, L. Blanc-Féraud, G. Aubert, and J. Zerubia, "A Variational Model for Image Classification and Restoration," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 5, pp. 460-472, May 2000.
16. T. Chan and L. Vese, "Active Contours without Edges," IEEE Trans. Image Processing, vol. 10, no. 2, pp. 266-277, Feb. 2001.
17. A. Yezzi, A. Tsai, and A. Willsky, "A Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations," J. Visual Comm. and Image Representation, vol. 13, no. 1, pp. 195-216, Mar. 2002.
18. C. Vazquez, A. Mitiche, and I. Ben Ayed, "Segmentation of Vectorial Images by a Global Curve Evolution Method," Proc. Reconnaissance de Forme et Intelligence Artificielle, Jan. 2004.
19. C. Vazquez, A. Mitiche, and I. Ben Ayed, "Image Segmentation as Regularized Clustering: A Fully Global Curve Evolution Method," Proc. IEEE Int'l Conf. Image Processing, pp. 3467-3470, Oct. 2004.
20. A.-R. Mansouri, A. Mitiche, and C. Vazquez, "Image Segmentation by Multiregion Competition," Proc. Reconnaissance de Forme et Intelligence Artificielle, Jan. 2004.
21. A.-R. Mansouri, A. Mitiche, and C. Vazquez, "Image Partitioning by Level Set Multiregion Competition," Proc. IEEE Int'l Conf. Image Processing, pp. 2721-2724, Oct. 2004.
22. M. Rousson and R. Deriche, "A Variational Framework for Active and Adaptative Segmentation of Vector Valued Images," Proc. IEEE Workshop Motion and Video Computing, pp. 56-61, Dec. 2002.
23. N. Paragios, O. Mellina-Gottardo, and V. Ramesh, "Gradient Vector Flow Fast Geometric Active Contours," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 3, pp. 402-407, Mar. 2004.
24. C. Samson, L. Blanc-Féraud, G. Aubert, and J. Zerubia, "A Level Set Model for Image Classification," Int'l J. Computer Vision, vol. 40, no. 3, pp. 187-197, Mar. 2000.
25. M. Kass, A. Withkin, and D. Terzopoulos, "Snakes: Actives Contours Model," Int'l J. Computer Vision, vol. 1, no. 1, pp. 321-333, Mar. 1988.
26. O. Germain and P. Réfrégier, "Edge Location in SAR Images: Performance of the Likehood Ratio Filter and Accuracy Improvement with an Active Contour Approach," IEEE Trans. Image Processing, vol. 10, no. 4, pp. 72-77, Jan. 2001.
27. C. Chesnaud, P. Réfrégier, and V. Boulet, "Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 21, no. 11, pp. 1145-1157, Nov. 1999.
28. O. Germain and P. Réfrégier, "Statistical Active Grid for Segmentation Rafinement," Pattern Recognition Letters, vol. 22, no. 3, pp. 1125-1132, 2001.
29. F. Galland, N. Bertaux, and P. Réfrégier, "Minimum Description Length Synthetic Aperture Radar Image Segmentation," IEEE Trans. Image Processing, vol. 12, no. 9 pp. 995-1006, Sept. 2003.
30. J.A. Sethian, Level Set Methods and Fast Marching Methods, second ed. Cambridge Univ. Press, 1999.
31. J.W. Goodman, Statistical Properties of Laser Speckle Patterns, Chapter on Laser Speckle and Related Phenomena, pp. 9-75, Springer-Verlag, 1975.
32. R. Malladi, J.A. Sethian, and B.C. Vemuri, "Shape Modeling with Front Propagation: A Level Set Approach," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 2, pp. 158-175, Feb. 1995.