论测量平差中的序贯平差
Sequential Adjustment Of Survey Adjustment
在测量平差中,若测量网中的数据较少时,可以用整体平差,若测量网中的数据较多时,而且在这些数据中是在不同时期所得到的,可以用序贯平差进行处理,序贯平差递推公式简洁,规律性强。它基于前期平差结果,无需存贮大量历史观测数据,无需求大矩阵逆即可获得与整体平差相同的最优解困,本文中推导了序贯平差处理数据的原理,以及在应用实例中的过程。
In survery adjustment, if the measured datas are little,it can be handled by overall adjustment,if the measured datas which obtain in the different time is many. In this condition ,it can use sequential adjustment to process the datas,The sequential adjustment recurrence formula is succinct, regular. It based on the preliminary adjustment result, does not need to store the massive history observation data, does not have the demand big matrix counter then to obtain with the adjustment in one cast same optimal solution is sleepy.In this article has inferred the sequential adjustment processing data principle, as well as in application example process.
冯永兴
工程设计、工程测绘
整体平差序贯平差Gauss-Marko模型
overall adjustmentsequential adjustmentGauss-Marko model
冯永兴.论测量平差中的序贯平差[EB/OL].(2010-10-28)[2025-08-26].http://www.paper.edu.cn/releasepaper/content/201010-532.点此复制
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