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针对ＧＩＳ中对曲线位置不确定性分析的要求,提出了一种采用数值方法计算拟合曲线点位误差的算法,给出了确定ＧＩＳ中任意曲线误差带模型的具体计算步骤与计算公式,并结合实例,绘制了三次样条拟合曲线的误差带。 相似文献
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分别利用直线、圆曲线与多项式曲线的拟合空间曲线实体,估计出拟合曲线与真实曲线之间的模型误差,建立包含模型误差与法线方向位置误差的曲线综合误差带模型。并通过算例证明了含有模型误差的综合误差带模型能更好地反应圆曲线的位置不确定性。 相似文献
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基于折线逼近的曲线位置与模型误差综合建模 总被引：1，自引：0，他引：1
针对目前GIS中曲线常通过一系列折线来逼近的情况,研究考虑由于折线逼近导致的模型误差和由于测量导致的点位随机误差综合影响的曲线不确定性模型。分析曲线拟合的分段准则,提出折线逼近产生的模型误差可由折线模型到真实曲线的垂直距离描述,建立集成模型不确定性与基于误差传播定律的位置不确定性的曲线误差综合量化模型。 相似文献
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GIS中曲线误差的模型与试验研究 总被引：1，自引：0，他引：1
提出了描述曲线整体误差的随机过程模型．用过程的数字特征函数定义了曲线的局部误差指标．用过程的积分定义了曲线的局部和整体误差指标．阐述了各指标的概率意义与几何意义．设计了过程模型的数字化试验，并提取了过程的样本曲线。通过对样本曲线的统计分析．得到了各误差指标的估计值。 相似文献
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GUO Tongde WANG Jiayao WANG Guangxia 《地球空间信息科学学报》2006,9(4):306-310
IntroductionCurves are the fundamental geometric elementsin GIS. The uncertainty of their positions has ani mportant influence on those outputs from GISandis the reliable basis for reasonably evaluatingthose outputs .In contrast to measurement error theor… 相似文献
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A stochastic error process of curves is proposed as the error model to describe the errors of curves in GIS. In terms of the stochastic process, four characteristics concerning the local error of curves, namely, mean error function, standard error function, absolute error function, and the correlation function of errors, are put forward. The total error of a curve is expressed by a mean square integral of the stochastic error process. The probabilistic meanings and geometric meanings of the characteristics mentioned above are also discussed. A scan digitization experiment is designed to check the efficiency of the model. In the experiment, a piece of contour line is digitized for more than 100 times and lots of sample functions are derived from the experiment. Finally, all the error characteristics are estimated, on the basis of sample functions. The experiment results show that the systematic error in digitized map data is not negligible, and the errors of points on curves are chiefly dependent on the curvature and the concavity of the curves. 相似文献
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The contour line is one of the basic elements of a topographic map. Existing contour line simplification methods are generally applied to maps without topological errors. However, contour lines acquired from a digital elevation model (DEM) may contain topological errors before simplification. Targeted at contour lines with topological errors, a progressive simplification method based on the two‐level Bellman–Ford algorithm is proposed in this study. Simplified contour lines and elevation error bands were extracted from the DEM. The contour lines of the elevation error bands were initially simplified with the Bellman–Ford (BF) algorithm. The contour lines were then segmented using the vertices of the initial simplification result and connected curves with the same bending direction were merged into a new curve. Subsequently, various directed graphs of the merged curves were constructed and a second simplification was made using the BF algorithm. Finally, the simplification result was selected based on the similarity between several simplification results and adjacent contour lines. The experimental results indicate that the main shapes of the contour groups can be maintained with this method and original topological errors are resolved. 相似文献
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缺乏有效的大地水准面成果精度评估方法,是高程基准现代化及其成果应用面临的关键问题。本文基于GNSS水准高程异常与重力场频域误差特性,研究GNSS水准与重力地面高程异常融合的技术要求,进而提出一种大地水准面成果的误差表达与精度评估方法。经示例测试分析,得出主要结论如下:①实用地面高程异常(即融合后的似大地水准面)精度,应采用随距离非线性变化的高程异常差误差曲线表达;②似大地水准面的精度评估,推荐采用两项误差指标和两条误差曲线共4个要素完整表达,即重力地面高程异常差误差、实用地面高程异常内部误差、实用地面高程异常差误差曲线与GNSS水准高程异常差误差曲线;③当两个GNSS水准点间距离接近或小于所有GNSS水准点平均间距时,GNSS水准高程异常对实用地面高程异常的贡献起主要作用;④较大空间尺度的实用地面高程异常精度主要依靠重力地面高程异常控制。 相似文献
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Positional error of line segments is usually described by using “g-band”, however, its band width is in relation to the confidence level choice. In fact, given different confidence levels, a series of concentric bands can be obtained. To overcome the effect of confidence level on the error indicator, by introducing the union entropy theory, we propose an entropy error ellipse index of point, then extend it to line segment and polygon, and establish an entropy error band of line segment and an entropy error donut of polygon. The research shows that the entropy error index can be determined uniquely and is not influenced by confidence level, and that they are suitable for positional uncertainty of planar geometry features. 相似文献
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《The Cartographic journal》2013,50(3):276-285
AbstractTraditionally schematised maps make extensive use of curves. However, automated methods for schematisation are mostly restricted to straight lines. We present a generic framework for topology-preserving curved schematisation that allows a choice of quality measures and curve types. The framework fits a curve to every part of the input. It uses Voronoi diagrams to ensure that curves fitted to disjoint parts do not intersect. The framework then employs a dynamic program to find an optimal schematisation using the fitted curves. Our fully-automated approach does not need critical points or salient features. We illustrate our framework with Bézier curves and circular arcs. 相似文献