Identification of Correspongding Points Based on SIFT Twice Matching Method
Maoyong Cao · Jisuanji gongcheng · 2012
The SIFT twice matching algorithm is proposed to get much more and reliable feature points in IRS-P5 remote sensing image matching.In order to get initial positioning points,uniqueness constraint and global geometric constraints are introduced to reduce matching error.micro-region images are got according to initial positioning points,and a new constraint-offset coordinate constraint is proposed together with the uniqueness constraint to complete the SIFT twice matching.Experimental results show that the matching number using the SIFT twice matching algorithm is 23.07 times of using SIFT directly with strict threshold value.