Research on the self-adaptive matching method of GF-1 satellite imagery considering the features of multi-camera mosaic imaging
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摘要: 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.Abstract: 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.
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Key words:
- GF-1 /
- multi-camera mosaic imaging /
- self-adaptive matching /
- geometric offset statistics
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