顾及多相机拼接成像特征的高分一号卫星影像自适应匹配方法

Research on the self-adaptive matching method of GF-1 satellite imagery considering the features of multi-camera mosaic imaging

卫星影像高精度匹配一直是备受关注的热点问题。以高分一号(GF-1)卫星PMS传感器双相机全色影像为研究对象,通过对其同名点间的几何偏移特性进行长时间序列统计分析后,提出了一种顾及多相机拼接成像特征的GF-1卫星影像自适应匹配方法。该方法是在传统影像匹配过程中加入自适应算法,利用迭代计算实现对目标搜索窗口、范围和方向的自适应选择。研究结果表明,该方法能够实现GF-1卫星同轨全色影像间的高精度自适应匹配,可以为其他类似卫星传感器影像匹配提供参考依据。

The high precision matching of satellite images has been a problem of much concern. In this paper,the panchromatic images in the same track of GF-1 satellite PMS sensor are treated as investigated subjects. Based on the time-series statistical results of the offset property of the conjugate points,a self-adaptive image matching method is proposed considering mosaic imaging characteristics. In this method,the self-adaptive algorithm is added in the traditional image matching process. It can realize the self-adaptive selection of the target search window,search range and search direction using the iterative computation. The experiment results prove that the proposed method can achieve high precision self-adaptive matching of the GF-1 panchromatic images in the same track,which is useful for other similar satellites in future.