资源卫星影像匹配粗差筛除算法设计与实现

针对影像匹配传统光束法模型的缺点,该文提出了一种基于不规则三角网(TIN)的局部面元粗差筛除算法。该算法从匹配点集出发,通过遍历TIN结点构建局部面元模型并计算坐标向量,然后根据向量的统计规则确定粗差及其限差,并完成匹配粗差筛除。基于ZY-1-02C卫星影像数据,对该算法进行了设计与实现。实验结果证明,该算法准确性、健壮性较好,具有良好的时间复杂度,可以避免传统算法的大量计算,提高遥感数字产品的自动化程度,也为误差处理理论提供了一个新方法。

Design and implementation of the algorithm for eliminating image matching gross errors of resource satellite image

Aiming at the disadvantage of traditional bundle adjustment,an algorithm was proposed for eliminating image matching gross errors based on local patch of triangulated irregular network.staring from the matching point set,by traversing the TIN's nodes,the local patches were constructed and the coordinate vectors were calculated by the algorithm,then,the gross error and its tolerance were determined by the statistical rules of vector and the matching gross errors were eliminated.Based on ZY-1-02C image data,the algorithm was designed and implemented in the paper.The results showed that the algorithm had high accuracy,strong robustness,and good time complexity,and mass calculation was avoided which exists in traditional algorithm,thus improved the automation for digital products of remote sensing,it also provided a new method for error processing theory.