A jitter compensation method for spaceborne line- array imagery using compressive sampling

Attitude jitter is a problem commonly experienced by remote-sensing satellites, and deteriorates the accuracy of geo-positioning and mapping. Therefore, it is important to design a method which can handle this problem. This paper presents a compensation method using compressive sampling. In this method, the influence of attitude jitter in imagery is represented by two fluctuating signals, which are called distortion signals in this paper. Using compressive sampling, the distortion signals in the remote-sensing imagery can be estimated with a small set of ground control points (GCPs). Based on the estimated distortion signals, we can conduct compensation on the remote-sensing imagery affected by attitude jitter. The significant advantage of this method is that it requires only rational function model (RFM) and few GCPs, which makes it easier to be applied than other similar methods. Experiment with image from satellite ALOS (Advanced Land Observing Satellite) and ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiaometer) showed the feasibility of the proposed method and the effect of the distribution of GCPs.