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A novel registration method for high resolution remote sensing images based on JSEG and NMI

Wang Chao (Hohai University, College of Computer and Information Engineering, Nanjing, China + Hohai University, Engineering Research Center of Sensing and Computing, Nanjing, China)
Shi Aiye (Hohai University, College of Computer and Information Engineering, Nanjing, China + Hohai University, Engineering Research Center of Sensing and Computing, Nanjing, China)
Wang Xin (Hohai University, College of Computer and Information Engineering, Nanjing, China)
Huang Fengchen (Hohai University, College of Computer and Information Engineering, Nanjing, China)
Liu Hui (Hohai University, College of Computer and Information Engineering, Nanjing, China)

When traditional multi-scale analysis tools are applied to high resolution remote sensing image registration, difficulties and limitations are common in selection of directional sub-bands and distribution optimization of control point pairs etc. Aiming at this issue, a novel registration method based on JSEG and NMI is proposed in this paper. It is the method that incorporates the multi-scale segmentation method (JSEG) into image registration for the first time and proposes an adaptive feature point extraction method on the basis of blocking strategy. Then, NMI is adopted to obtain a set of control point pairs. Finally, the image registration is realized by virtue of Delaunay triangle local transform mapping functions. In accordance with experiments on high resolution remote sensing images collected by different sensors, it is found that the method can not only extract feature points accurately but also ensure reasonable distribution of control point pairs. Meanwhile, compared with traditional multi-scale tools-based methods, the method has relatively high accuracy and robustness.

Keywords: Image registration, High resolution remote sensing images, JSEG, NMI