SIFT Based Automatic Registration of Remotely-sensed Imagery
Xiaoming Li, Zheng Lian · National Remote Sensing Bulletin · 2006
Automatic registration of remotely-sensed imagery is a classical problem,and has not been well solved till now.In this paper,SIFT(Scale Invariant Feature Transform) feature,which has shown great success in computer vision,is introduced into image registration in remote sensing.In addition,we also proposed a feature matching approach based on the specific characteristic of the remote sensing imagery.Numerous experiments have been conducted for both aerial and satellite imageries under various conditions such as geometric distortion,illumination variation and different resolution.The results showed that our matching approach performs well,and is stable,reliable and efficient.