Fast rectifying airborne infrared scanning image based on GPS and INS

You Hongjian, Shao Yun, Li Shukai (Laboratory of Remote Sensing Information Sciences, Institute of remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101) Abstract: Airborne infrared scanning image is often distorted due to the change of the airplane’s attitude and position. Therefore, ground control points must be used to rectify the raw infrared image if traditional approach is adopted. A new method is tested in this paper to rectify scanning image fast based on GPS and INS. First the positions of some pixels in a scanning line are calculated, and then these pixels are used as ground control points to rectify the whole scanning line. The gray interpolation and strips mosaic are also discussed in this paper. The data of flight tests processed shows this method is feasible. Keyword: GPS, INS, rectify image, mosaic