测绘卫星摄影测量平差的粗差探测方法研究

A Research on the Method of Gross Error Detection for Surveying Satellite Photogrammetry Adjustment

粗差探测是平差解算中的重要课题,对平差解算结果可靠性的提升有着重要作用。因此,通过对典型摄影测量粗差探测权函数的分析,提出了一种能基于粗差率自适应调整权函数系数的粗差探测算法。实验结果表明,自适应粗差探测方法在不同粗差条件下的卫星摄影测量平差中能有效剔除粗差,具有较好的稳定性。

Gross err detection is the important part of block adjustment and the key of improving the reliability of block adjustment results. By analyzing the results of the typical gross err detection methods, a serf-adaptive method of gross err detection is established.The experiment results show that the self-adaptive method has good robustness and is adapted to the gross error detection in satellite photogrammetry adjustment.