Adapted Anisotropic Gaussian SIFT Matching Strategy for SAR Registration
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[1] Guoyou Wang,et al. Robust Scale-Invariant Feature Matching for Remote Sensing Image Registration , 2009, IEEE Geoscience and Remote Sensing Letters.
[2] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Cordelia Schmid,et al. Scale & Affine Invariant Interest Point Detectors , 2004, International Journal of Computer Vision.
[4] Joost van de Weijer,et al. Fast Anisotropic Gauss Filtering , 2002, ECCV.
[5] Warner Skoch,et al. The effects of anisotropic Gaussian diffusion in scale invariant feature detection , 2011, 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).
[6] David Suter,et al. Feature Detection with an Improved Anisotropic Filter , 2006, ACCV.
[7] Peter Reinartz,et al. Applicability of the SIFT operator to geometric SAR image registration , 2010 .
[8] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[9] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[10] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[11] Hongjian You,et al. BFSIFT: A Novel Method to Find Feature Matches for SAR Image Registration , 2012, IEEE Geoscience and Remote Sensing Letters.
[12] Adrien Bartoli,et al. KAZE Features , 2012, ECCV.