基于Monte Carlo模拟的三维剖面地质界线不确定性分析     

侯卫生  杨翘楚  杨亮  崔婵婕 《吉林大学学报(地球科学版)》2017,47(3)

三维剖面地质界线是构建三维地质结构模型的重要基础数据,其不确定性会影响三维模型的几何形态和属性分布。以单一分布为假设前提的统计学不确定性分析方法掩盖了其他概率分布特征对模型的影响。突破单一误差分布条件的假设前提,本文使用Monte Carlo方法模拟了不同概率分布情况下地质剖面数据中地质界线的抽样采集,以及地质界线空间分布的不确定性;依托地质界线空间位置与地质属性的耦合关系,提出了用地质属性概率分布实现地质界线空间不确定性的定量可视化,并结合实际地质剖面探讨了多种概率分布条件下地质界线的空间不确定性。实例研究表明,基于Monte Carlo模拟的不确定性分析方法可以突破单一误差分布假设条件,结合地质属性概率可充分揭示出建模数据的内在不确定性与模型外在要素形态之间的耦合关系。  相似文献   

基于核心素养的初中地理单元教学设计探究--以“河流”为例     

颜廷丽  寇建新  鲁红梅  蒋翘楚 《地理教学》2022,(4):36-38

指向核心素养的单元教学设计利于学生知识建构以及知识和方法的迁移应用。本文通过对有关“河流”课标的解读与教材的理解,基于学情分析,在大观念引领下,构建了单元教学设计的一般方法,并探究了以“河流”为例的单元教学设计实例,最后进行了反思。  相似文献   

速生刺参选育组合胚胎发育及其 幼体附着变态效果比较     

李成林  胡炜  宋爱环  李翘楚  王娟  张豫 《海洋科学集刊》2009,49(49):119-124

Different hybridization groups of wild sea cucumber Apostichopus japonicus (Selenka) from Qingdao（Q）、Yanta（Y）、Weihai（W）、Rizhao（R）、Changdao（C） were studied in contrast with their self-breeding groups.By Duncan’s multiple range tests, the rate of hatching、auricularia larvae survivorship、doliolaria apperance and rate of metamorphosis about different groups were compared and analysized. Results showed, in general,the hybridization groups have heterosis over the self-breeding groups, having significant differences at 5% level with the contrast groups.Thereinto, the groups of Y(♀)×Q (♂)and Q(♀)×W(♂) had the best hybridized effects.(Their rate of hatching、auricularia larvae survivorship、doliolaria apperance and rate of metamorphosis is 95.4%、95.2%、20%、93.8%；93.8%、90.1%、15%、91.6% respectly );the groups of Y(♀)×W(♂)、Y(♀)×R(♂) and W(♀)×R(♂) are in-between(the corresponding datas are: 94.2% 、87.2%、12%、91.2%；93.6% 、86.2%、12%、90.1%；96.1%、83.1%、10%、86.7% respectly)；the effect of Q(♀)×C (♂)and W(♀)×C(♂) is unconspicuous(the corresponding datas are: 93.2、%、80.4%、10.5%、80.2%；90.7%、79.3%、9.5%、78.9% respectly). The research can provide important academic reference and practical directive meaning for science research and production in future.  相似文献   

利用Visual C++实现AutoCAD等高线自动连接     

刘翘楚  康建荣  张蒙 《测绘通报》2012,(3):74-76

在分析DXF文件结构特点的基础上,实现了DXF文件中地形信息的提取;设计了等高线自动连接的算法,算法中考虑了两条等高线端点不同的情形,即首—首、首—尾、尾—首、尾—尾4种连接情况。根据连接交点位置的不同,分为交点在线上、交点在线外两种连接方式,并以实例验证该算法,最终实现了等高线自动连接的目标。这对于提高地形分析前期数据的工作效率具有重要意义。  相似文献   

Entropy-Based Weighting in One-Dimensional Multiple Errors Analysis of Geological Contacts to Model Geological Structure     

Hou  Weisheng  Cui  Chanjie  Yang  Liang  Yang  Qiaochu  Clarke  Keith 《Mathematical Geosciences》2019,51(1):29-51

In each step of geological modeling, errors have an impact on measurements and workflow processes and, so, have consequences that challenge accurate three-dimensional geological modeling. In the context of classical error theory, for now, only spatial positional error is considered, acknowledging that temporal, attribute, and ontological errors—and many others—are part of the complete error budget. Existing methods usually assumed that a single error distribution (Gaussian) exists across all kinds of spatial data. Yet, across, and even within, different kinds of raw data (such as borehole logs, user-defined geological sections, and geological maps), different types of positional error distributions may exist. Most statistical methods make a priori assumptions about error distributions that impact their explanatory power. Consequently, analyzing errors in multi-source and conflated data for geological modeling remains a grand challenge in geological modeling. In this study, a novel approach is presented regarding the analysis of one-dimensional multiple errors in the raw data used for model geological structures. The analysis is based on the relationship between spatial error distributions and different geological attributes. By assuming that the contact points of a geological subsurface are decided by the geological attributes related to both sides of the subsurface, this assumption means that the spatial error of geological contacts can be transferred into specific probabilities of all the related geological attributes at each three-dimensional point, which is termed the “geological attribute probability”. Both a normal distribution and a continuous uniform distribution were transferred into geological attribute probabilities, allowing different kinds of spatial error distributions to be summed directly after the transformation. On cross-points with multiple raw data with errors that follow different kinds of distributions, an entropy-based weight was given to each type of data to calculate the final probabilities. The weighting value at each point in space is decided by the related geological attribute probabilities. In a test application that accounted for the best estimates of geological contacts, the experimental results showed the following: (1) for line segments, the band shape of geological attribute probabilities matched that of existing error models; and (2) the geological attribute probabilities directly show the error distribution and are an effective way of describing multiple error distributions among the input data.

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高分辨率遥感影像的车道级高精地图要素提取   总被引：2，自引：0，他引：2  

侯翘楚  李必军  蔡毅 《测绘通报》2021,(3):38-43

高精地图是城市道路场景下自动驾驶必不可少的基础设施之一。针对目前高精地图静态层在生产和更新中存在的采集成本高、周期长、数据处理复杂等问题,本文提出了一整套基于高分辨率遥感影像的高精地图静态层的车道级要素提取方案。首先,通过SURF算法对多时相影像进行配准,同时结合影像的光谱信息对像元进行判断,实现了对车道中动态车辆的检测和去除;然后,基于面向对象的方法提出了一种要素对象的特征选择方法,并结合统计学理论对各要素进行阈值分析,实现了对虚线车道线、人行横道等车道级要素的检测和提取;最后,结合试验数据,验证了本文所提出的基于遥感影像的车道级要素大范围快速提取方案的有效性。  相似文献