秩亏自由网多期序贯平差在矿区地表沉陷观测的应用

Application of Multi Stage Sequential Adjustment of Rank Deficient Free Network in the Observation of Surface Subsidence in Mining Area

本论文在讨论秩亏自由网平差以及多期序贯平差的基础上,提出了一种秩亏自由网多期序贯平差的模型,并将此模型应用于矿区地表沉陷观测。经实验数据验证,此模型能够很好地结合多期序贯平差的高效率以及秩亏自由网平差无起始控制点数据的特性,可以广泛地应用于数据量较大、无起始数据的矿区地表沉陷观测中。

Based on the discussion of the rank deficient free network adjustment and the multi period sequential adjustment,this paper proposes a model of multi period sequential adjustment of rank deficient free network,and applies this model to the observation of surface subsidence in mining area.Experimental data show that this model can be well combined with the multiple phase sequential adjustment and high rank defect free network adjustment no initial control point data,can be widely used in a large amount of data,no initial data mining subsidence observation.