Automatic Registration and Mosaic of Remote Sensed Imagery Based on SIFT Feature
Yan Zhou · Yaogan jishu yu yingyong · 2011
In this paper,SIFT feature is introduced into automatic registration and mosaic of remote sensed imagery and aerial imagery.Considering to the low efficiency of RANSAC algorithm and the estimation of the scale of inliers noise which refer to,we presents a feature matching approach called projected based M-estimator to resolve the matching problem,which can escape from human-interaction in automatic system.Numerous experiments have been conducted for both aerial and satellite imageries under various conditions such as geometric distortion,illumination variation and different resolution.The result showed that our matching approach performs well and is stable,reliable,efficient and automatic.The M-estimate can achieve authentically automatic registration without human-interaction in despite of different input data with different scale of inliers noise.