SAR Image Matching Algorithm Based on Improved-KAZE

Autonomous navigation system is the key technology of hypersonic vehicle(HV)autonomous control.As the key navigation system of the hypersonic vehicle,the synthetic aperture radar(SAR)images are affected by serious speckle noise.The SINS detecting features in nonlinear scale space are highly time consuming due to the computational burden of creating the nonlinear scale space.Based on the analysis of the characteristics of KAZE,the fast explicit diffusion was introduced to accerlarate feature detection in nonlinear scale space.Furthermore,an improved KAZE algorithm and SINS/SAR integrated scene matching algorithm was proposed.The simulation results indicate that the improved KAZE algorithm has better accuracy and robustness than SIFT,and can effectively improve the computational speed.