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High-precision and robust matching of multi-source remote sensing image matching is not easy to achieve because of non-linear intensity differences and significant geometric distortions. A new registration method is proposed by integrating the scale-invariant feature transform (SIFT) and optimization of local self-similarity mutual information (LSS_MI). This method consists of two main steps. In the...
This paper proposes a new remote sensing image algorithm based on virtual triangle similarity, position control and mutual information constraint (VIS-PCMIC), aiming at the optical image automatic registration of affine transformation. This algorithm can be simply defined into three steps. Firstly, the initial matching feature points and transformation model parameters are obtained according to the...
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