A SAR Image Matching Method Based on Anisotropic Scale Space
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Abstract:
Aiming at the effect of speckle noise in SAR image matching algorithm, a SAR image matching algorithm based on anisotropic scale space is proposed. Firstly, we use the additive operator splitting solution scheme to build the anisotropic scale space which can better preserve image detail while filter speckle noise at the same time; Then, we extract feature points in the nonlinear scale space, and use the improved SURF descriptors to weaken the effect of speckle noise; Finally points sets are matching based on transform parameter constraints policy filter. This method can maintain the matching accuracy while increase the number of points. Extensive experimental results on different polarization, phase and band SAR images demonstrated that our method can improve the matching accuracy.
