Matching of SAR images and optical images based on edge feature: Extracted via SVM

2004 7th International Conference on Signal Processing Proceedings, ICSP

Volumn , Issue , 2004, Pages 932-935

  Cheng, Hui ^a   Zheng, Sheng ^a   Yu, Qiuze ^a   Tian, Jinwen ^a   Liu, Jian ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Image matching hausdorff distance; Support vector machine (SVM); Synthetic aperture rada (SAR)

Indexed keywords

FEATURE EXTRACTION; GENETIC ALGORITHMS; LEAST SQUARES APPROXIMATIONS; OPTICAL IMAGE STORAGE; SYNTHETIC APERTURE RADAR; VECTORS;

DATA CLASSIFICATION; HAUSDOFF DISTANCE; IMAGE MATCHING; SUPPORT VECTOR MACHINE (SVM);

IMAGE PROCESSING;

EID: 10344267526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Zitová Barbara, Flusser Jan. Image registration methods: a survey, Image and Vision Computing Vol.21, No 11, pp 977-1000, 2003.
2. Christmas W.J. Structural matching in computer vision using probabilistic Relaxation, IEEE transaction on PAMI, Vol.17, No.8, pp 749-764, 1995.
3. H. Li, B. S. Manjunath, and S. K. Mitra. A contour based approach to multisensor image registration, IEEE Trans. Image Processing, 4(3),pp.320-334, 1995.
4. Vapnik, V., 1995. The nature of statistical learning theory, Springer-Verlag, New York.
5. Suykens J.A.K., Vandewalle J., 1999. Least squares support vector machine classifiers, Neural Processing Letters, 9(3), 293-300.
6. D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, Comparing images using the Hausdorff distance, IEEE Trans. Pattern Anal. Machine Intelligence. Vol.15, No.9, pp. 850-863, 1993.
7. Dong-Gyu Sim.etc, Object Matching Algorithms Using Robust Hausdorff Distance Measures, IEEE Trans. Image processing," Vol. 8, No. 3, pp425-429, 1999.