童小华, 刘大杰, 龚健雅. GIS中宗地面积的平差模型与方案探讨[J]. 武汉大学学报 ( 信息科学版), 2003, 28(2): 182-187.
引用本文: 童小华, 刘大杰, 龚健雅. GIS中宗地面积的平差模型与方案探讨[J]. 武汉大学学报 ( 信息科学版), 2003, 28(2): 182-187.
TONG Xiaohua, LIU Dajie, GONG Jianya. Adjustment Models and Methods of Parcel Area Processing in GIS[J]. Geomatics and Information Science of Wuhan University, 2003, 28(2): 182-187.
Citation: TONG Xiaohua, LIU Dajie, GONG Jianya. Adjustment Models and Methods of Parcel Area Processing in GIS[J]. Geomatics and Information Science of Wuhan University, 2003, 28(2): 182-187.

GIS中宗地面积的平差模型与方案探讨

Adjustment Models and Methods of Parcel Area Processing in GIS

  • 摘要: 首先给出了面积平差的基本原理和数学模型,并提出了面积平差处理的3种方案,并对这3种方案进行了实际计算和分析。

     

    Abstract: In this paper,area processing for cadastral parcel in GIS is thoroughly studied.The principles and models of area adjustment are presented.Then three themes of area processing are proposed:the first is that the area of a parcel is treated as a fixed value and the digitized coordinates are regarded as observations;the second is that both area and coordinates are treated observations,which are two different kinds of observations.It is important to determine the weights between these two kinds of observations.Therefore,the variance component estimation with parameters based on the condition adjustment is then used to solve this problem;the third is that the scale error in area adjustment is considered.The reason is that in the parcel area digitization,the systematic error has great effect on the parcel area due to errors in transformation between different coordinates systems and image correction.And the variance component estimation with parameters based on the condition adjustment is then presented,the hypothesis tests are further conducted to determine the obviousness of area scale error.In the end,case studies of the three themes are given,the results are discussed and the conclusions are reached that it is necessary to select a pertinent model to process parcel area to improve the accuracy parcel digitization in GIS.

     

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