Learning texture classifier for flooded region detection in SAR images

Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005

Volumn 2005, Issue , 2005, Pages 93-98

  Zhang, Shiqing ^a   Lu, Hanqing ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; SYNTHETIC APERTURE RADAR; TEXTURES;

LEARNING TEXTURE CLASSIFIER; TEXTURE INFORMATION; TEXTURE-BASED CHANGE DETECTION;

IMAGE ANALYSIS;

EID: 33748851189     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CGIV.2005.51     Document Type: Conference Paper

References (13)

1. M. Borchani, F. Cloppet, V. Atalay, and G. Stamon. Change detection in aerial images. In Proceedings of the Ist Canadian Conference on Computer and Robot Vision, pages 354-360. Ontario, Canada, 2004.
2. L. Bruzzone and D. F. Prieto. Automatic analysis of the difference image for unsupervised change detection. IEEE Transactions on Geoscience and Remote Sensing, 38(3):1171-1182, 2000.
3. Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 51(1):119-139, 1997.
4. J. Inglada. Change detection on sar images by using a parametric estimation of the kullback-leibler divergence. In Proceedings of the 29th Geoscience and Remote Sensing Symposium, IGARSS, volume 6, pages 4104-4106. Toulouse, France, 2003.
5. L. Li and M. K. Leung. Robust change detection by fusing intensity and texture differences. In Proceedings of the 4th Computer Vision and Pattern Recognition, volume 1, pages 777-784. Hawaii, USA, 2001.
6. L. Li and M. K. Leung. Integrating intensity and texture differences for robust change detection. IEEE Transactions on Image Processing, 11(2): 105-112, 2002.
7. S. Z. Li, L. Zhu, Z. Zhang, A. Blake, H. Zhang, and H. Shum. Statistical learning of multi-view face detection. In Proceedings of the 7th European Conference on Computer Vision, pages 67-81. Copenhagen, Denmark, 2002.
8. R. Meir, Gunnar, and Rätsch. An introduction to boosting and leveraging, pages 118-183. Artificial Intelligence Advanced lectures on machine learning, 2003.
9. W. Peng, C. Pan, and V. Prinet. Unsupervised change detection for flood analysis in sar images. In Proceedings of the 6th Asia Conference on Computer Vision, volume 1, pages 652-657. Jeju Island, Korea, 2004.
10. P. L. Rosin. Thresholding for change detection. In Proceedings of the 6th International Conference on Computer Vision, pages 274-279. Bombay, India, 1998.
11. S. Theodoridis and K. Koutroumbas. Pattern Recognition Second Edition. Academic Press, 2003.
12. F. Wang. A knowledge-based vision system for detecting land changes at urban fringes. IEEE Transactions on Geoscience and Remote Sensing, 31(3):136-145, 1993.
13. Y. Wu and H. A. Maitre. Smoothing speckled synthetic aperture radar images by using maximum homogeneous region filters. Optical Engineering, 31(8): 1785-1792, 1992.