Parallel remote sensing image registration based on improved SIFT point feature
Zhiwen Zhu · National Remote Sensing Bulletin · 2011
According to the problems of large memory consumption and low computation speed in SIFT (Scale Invariant Feature Transform) algorithm,this paper adopts the strategy of pyramid and partitioning to register original images coarsely and matches partitioned images to realize accurate registration.During the process of matching,the number of Gaussian image octave is restrained according to image resolution and the feature points are filtered.Meanwhile,the matching process is paralleled to improve the efficiency.Experiments show that on the premise that registration accuracy is stable,the proposed algorithm solves the problem of high requirement of memory and the efficiency is improved significantly,which is applicable for registering remote sensing images of large areas.