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A novel algorithm for matching synthetic aperture radar (SAR) image to optical image based on edge feature using Hausdorff distance combined with genetic algorithm is proposed in this paper. A new method is presented to extract edge feature from low signal to noise ratio SAR image via support vector machine (SVM). Based on, the least squares support vector machine (LS-SVM), a set of the new gradient operators and the corresponding second derivative operators are obtained. Modified Hausdorff distance is adopted as a similarity measure and genetic algorithm is used as searching strategy. Experimental results demonstrate that the algorithm is feasible, fast and can achieve high matching accuracy.
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on (Volume:2 )
Date of Conference: 31 Aug.-4 Sept. 2004