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本文采用变形模型可区分度量的概念进行监测网的优化设计。在算法上采用计算机模拟逐一更新的计算过程。为了克服常规模拟法需要人工干预的缺点,引进了一些规则,利用计算机的判断和推理过程,达到了自动设计的目的。作为示范例子,文中最后还给出了一个模拟监测网的设计结果。 相似文献
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变形监测网的质量测度 总被引：2，自引：0，他引：2
对变形监测网络的质量测度－精度、灵敏度和可区分度进行了讨论，重点论述了它们之间的关系及应用的条件，并以算例加以论证。 相似文献
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基于直方图的遥感图像相似性检索方法比较 总被引：7，自引：0，他引：7
相似性度量是用于研究多源数据之间相似程度的，是对空间数据进行模式识别的基础。通过单波段遥感图像的检索对两组直方图相似性检索方法进行了实验研究，即基于特征向量的相似性度量和基于概率的相似性度量。实验中发现第一组相似度量中有两种以往较少用于遥感图像检索的方法表现出色，它们分别是，统计距离和相似夹角余弦度量。第二组实验中，针对其中包含较明显的目标物体且背景较为单一的遥感图像（其直方图可看作混合高斯分布），在类别可分离判据的基础上，根据K-近邻法则提出了一种计算该类图像之间相似值的方法。实验结果表明基于K-近邻法则的计算方法行之有效。所得出的结论将对多源数据分析中相似性度量的理解与选择有积极意义。 相似文献
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A method for determining the main families of isolated periodic orbits and their characteristic exponents in planar potentials
which are separated by a point transformation is proposed. Since these orbits are continued analytically with the same stability,
these results are persistent under small perturbations. The method is applied to the two fixed centers problem, the Paul trap
and the dipole expansion of an electrostatic potential.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
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基于GF-1与Landsat-8影像的土地覆盖分类比较 总被引：5，自引：1，他引：4
高分一号(GF-1)卫星具有多种分辨率与大幅宽结合、重访周期短等优势,而Landsat-8卫星具有多波段、高辐射分辨率等优势。针对不同传感器参数特点,利用支持向量机分类器(SVM)对同区域同期两种数据进行土地覆盖分类对比研究。结果表明：两种传感器对应波段决定系数均大于0.92;典型样本的光谱趋势一致性良好,但在农田与林地、不透水面与裸土的典型样本可分离性方面,Landsat-8优于GF-1;GF-1与Landsat-8的分类总精度分别为90.38%和90.07%,但不同地物类型的分类精度存在差异,波谱响应函数的差异可能是导致Landsat-8对林地的分类精度高于GF-1的原因;此外,GF-1对零碎分布地物类型的分类精度高于Landsat-8,主要原因是GF-1具有更高的空间分辨率。 相似文献
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基于特征空间中类间可分性的层次型多类支撑向量机 总被引：1，自引：0，他引：1
针对支撑向量机的特点提出了一种特征空间中的类间可分性度量 ,并基于该度量通过聚类算法构造了二叉树和单层聚类两种层次型多类支撑向量机。通过多光谱遥感影像的分类实验证明了该可分性度量的有效性。 相似文献
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CHEN Yongqi TANG HongwaiCHEN Yongqi Professor School of Geo-science Surveying Engineering WTUSM Wuhan China 《地球空间信息科学学报》1998,(1)
A monitoring scheme must be so designed that several possible mod-els can be efficiently separated in the stage of analysis of deformation measure-ments.Based on the concept of separability developed by Chen and Chrzanowski,a methodology for the design of monitoring schemes has been developed by the au-thors.In the method a computer simulation technique is employed,into whichsome rules have been elaborated allowing minimal human intervention.In this pa-per the criterion is first presented and the design technique using the step one up-dating procedure is discussed.Finally,design of a simulated monitoring networkis made as a demonstrating example. 相似文献
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ABSTRACTDespite conceptual and technology advancements in cartography over the decades, choropleth map design and classification fail to address a fundamental issue: estimates that are statistically indifferent may be assigned to different classes on maps or vice versa. Recently, the class separability concept was introduced as a map classification criterion to evaluate the likelihood that estimates in two classes are statistical different. Unfortunately, choropleth maps created according to the separability criterion usually have highly unbalanced classes. To produce reasonably separable but more balanced classes, we propose a heuristic classification approach to consider not just the class separability criterion but also other classification criteria such as evenness and intra-class variability. A geovisual-analytic package was developed to support the heuristic mapping process to evaluate the trade-off between relevant criteria and to select the most preferable classification. Class break values can be adjusted to improve the performance of a classification. 相似文献