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POSITIONAL ERROR CURVES BAND OF A PLANAR LINE SEGMENT WITHIN GISs
  • ISSN号:1009-5020
  • 期刊名称:《地球空间信息科学学报:英文版》
  • 时间:0
  • 分类:P2[天文地球—测绘科学与技术]
  • 相关基金:Project Supported by the National Natural Science Foundation of China (No.49801016 and 49671063)
作者: DAI Honglei
中文摘要:

[1]Blakemord M. Generalization and error in spatial databases. Cartographica, 1984,21,131~139 [2]Dai H L,Xu P L, Lu X S. The variance estimation of corresponding line through overlay operation within GISs.Journal of Wuhan Technical University of Surveying and Mapping, 1998,23(1): 14~17(in Chinese) [3]Dai H L. The propagation models of postitional uncertainty in vector GISs: [Master Thesis]. Taian: Shandong Mining University, 1998 (in Chinese) [4]Liu W B. Modeling uncertainty of spatial data in GISs and remote sensing: [Ph. D Thesis]. Wuhan: Wuhan Technical University of Surveying and Mapping , 1995(in Chinese) [5]Liu W B,Dai H L. Analytical representation of positional uncertainties of line features in GIS. ACTA Geodaetica et Cartographica Sinica , 1998,27(3) :231~237 [6]Mikhail E M. Observations and least squares. New York: IEP, 1976 [7]Wang L X, et al. Advanced Mathematics Handbook. Beijing:High Education Press, 1983(in Chinese) [8]Yu Z C, Lu L C. Adjustment of Observations. Beijing:Publishing House of Surveying and Mapping, 1983 (in Chinese)

英文摘要:

In this paper, the positional error curve of point features was extended to an error curves band of line segment features. Firstly, the constitution and shape of the error curves band were analyzed. On this basis, the general boundary curve formula of that band was derived. Secondly, the visualizing error curves bands were realized through three examples. Finally, area index has been examined by comparing numerical results from error curves band and error ellipes band.

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期刊信息
  • 《地球空间信息科学学报:英文版》
  • 主管单位:教育部
  • 主办单位:武汉大学
  • 主编:李德仁
  • 地址:武汉洛阳路129号
  • 邮编:430079
  • 邮箱:
  • 电话:027-68778465
  • 国际标准刊号:ISSN:1009-5020
  • 国内统一刊号:ISSN:42-1610/P
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 荷兰地学数据库,荷兰文摘与引文数据库,美国地质文献预评数据库,美国剑桥科学文摘
  • 被引量:94