Coarse-to-fine and self-adaptive multi-source image registration algorithm with multi-constraint

A multi-sensor remote sensing image sub-pixel registration algorithm was proposed in this paper. In this registration scheme, point feature, three image matching algorithms (ICM, PRM, LSM) and three constraints (APC, CDM, TCC) were applied to guarantee that the accuracy of point matching reached sub-pixel and that the distribution of feature points was self-adapted to the area terrain. Then Triangulated Irregular Network (TIN) was constructed with feature points. Finally the target image was rectified based on TIN with the improved triangle filling algorithm. Experiments results on multi-sensor remote sensing images demonstrate that the registration accuracy of the SPOT4 panchromatic image (10 m/pixel) is 6-7 m and that the SPOT5 multi-spectral image (10 m/pixel) is 5-6 m.