Skyline-based registration of 3D laser scans

Acquisition and registration of terrestrial 3D laser scans is a fundamental task in mapping and modeling of cities in three dimensions. To automate this task marker-free registration methods are required. Based on the existence of skyline features, this paper proposes a novel method. The skyline features are extracted from panoramic 3D scans and encoded as strings enabling the use of string matching for merging the scans. Initial results of the proposed method in the old city center of Bremen are pre-sented.     

X波段双线偏振雷达冰雹识别初步研究

利用北京市人工影响天气办公室X波段双线偏振雷达2009年4—10月观测的不同降雨类型的资料,统计出下雨天ZH—ZDR的分布特征,给出了ZH-ZDR分布的分段函数表达式,在此基础上定义了X波段双线偏振雷达冰雹识别参量HDR,HDR〉0表示有冰雹,HDR〈0表示无冰雹,并指出电磁波的衰减会影响H_DR识别冰雹的结果。根据实际降雹情况和识别效果对比,结果表明HDR大于零的区域与地面降雹情况基本对应一致。     

国家地震速报备份系统的部署与运行

国家地震速报备份系统是由中国地震局出资,在广东省地震台网中心建设的一套全自动地震速报系统.本文介绍了国家地震速报备份系统的职责、系统架构、主要功能模块、系统工作原理、部署情况与台网规模,分析了系统2009-2010年运行两年来的工作情况,并对系统自动产出的地震定位结果进行初步的统计与比较,对系统运行的总体效果给予了初步...     

识别天然地震和人工爆破的判据选择

从快速识别事件性质的要求出发,分析了天然地震和人工爆破的发震时间,P波初动方向,P波、S波振幅比值,P波、S波最大振幅与尾波持续时间比值等判据,得到P波初动方向和P最大振幅与S最大振幅比值是识别爆破和地震的两个有效判据,为研制“识别天然地震和人工爆破的分类决策支持系统”提供了应用依据.     

TM图像杨树林识别的MLC与LSU算法应用分析——以河北省文安县为例

以Landsat5 TM1、TM2、TM3、TM4、TM5和TM7等图像数据,经预处理后进行植被指数提取和主成分分析,生成13个波段数据集;并用最优指数法(OIF)选取目视解译波段,运用最大似然法(MLC)和线性光谱分解法(LSU)对华北平原农区河北省文安县2007年5月的杨树林地面积信息作了应用分析.结果表明:(1)...     

应用地震波形分类技术识别岩相的适用性和局限性

地震波形分类技术在识别和划分岩相的应用中有其独特的优点,但也存在一定的局限性。通过针对不同岩相的大量实践,深入探讨了影响该技术的应用条件,系统总结了该技术识别岩相的适用性和局限性。研究表明：时窗类型及大小、地震属性体的选择是影响波形分类结果最重要的因素;不同的岩相在地震振幅、频率、相位、时间厚度上存在差异性是正确应用波形分类方法的前提;当岩相问的地震响应差别不明显,或同一岩相横向波形变化较快,无法建立统一的岩相地震波形特征时,波形分类方法的结果不能准确地划分岩相,也没有明确的地质意义。回归到岩相地震响应特点的分析,建立地震响应与岩相的对应关系,开展波形分类技术应用的先验性研究,是成功应用该技术的基础和关键。     

Polycyclic aromatic hydrocarbons in coastal sediments of southwest Taiwan: An appraisal of diagnostic ratios in source recognition

Fifty-seven surface sediment samples were collected from the coast of southwest Taiwan and analyzed for polycyclic aromatic hydrocarbons (PAHs). Concentrations of total PAHs (28 PAH compounds) ranged from 15 to 907 ng g⁻¹ dry weight. Diagnostic ratios showed that PAHs in the sediments of the Gaoping estuary were predominantly of petroleum origin, whereas sediments from the Kaohsiung coast contained principally combustion-derived PAHs. Principal component analysis indicated that emissions from automobiles and coal burning were the main sources of combustion-derived PAHs. The relatively high ratios of perylene/penta-aromatic PAH isomers in sediments from the Tainan coast and some off-shore stations on the Kaohsiung coast suggest a significant diagenetic PAH contribution. The study shows that certain diagnostic ratios are useful and sensitive in delineating the distribution of PAHs from specific sources in southwest Taiwan. The phenanthrene/anthracene ratio is a better indicator than the methylphenanthrenes/phenanthrene ratio for tracing petrogenic PAHs, and the benzo(a)anthracene/chrysene and indeno(1,2,3-c,d)pyrene/benzo(g,h,i)perylene ratios are more specific than the benzo(a)pyrene/benzo(e)pyrene and benzo(b)fluoranthcene/benzo(k)fluoranthcene ratios in distinguishing PAHs from various pyrogenic sources.     

Deterministic sensitivity analysis for a model for flow in porous media

A deterministic method for sensitivity analysis is developed and applied to a mathematical model for the simulation of flow in porous media. The method is based on the singular value decomposition (SVD) of the Jacobian matrix of the model. It is a local approach to sensitivity analysis providing a hierarchical classification of the directions in both the input space and of those in the output space reflecting the degree of sensitiveness of the latter to the former. Its low computational cost, in comparison with that of statistical approaches, allows the study of the variability of the results of the sensitivity analysis due to the variations of the input parameters of the model, and thus it can provide a quality criterion for the validity of more classical probabilistic global approaches. For the example treated here, however, this variability is weak, and deterministic and statistical methods yield similar sensitivity results.     

利用多目标地球化学数据识别第四纪沉积物类型——基于概率神经网络方法

针对利用多目标地球化学数据研究第四纪沉积物类型问题,提出了基于概率神经网络的分类识别模型,并给出地球化学特征指标选取、指标归一化、神经网络设置和训练的具体方法、步骤。在吉林省中西部松嫩平原应用表明,该方法识别出8类不同成因的第四纪沉积物,较好地解决了该区第四纪沉积物成因归属问题。概率神经网络模型对第四纪沉积物类型的识别能力远高于常规多元统计方法,且结构简单、训练快捷。     

城市复杂道路网的Stroke生成方法

传统连接stroke的方法在处理表达较为详细的城市道路网数据时,会产生双行道分离和环岛处截断等错误.为能够在城市复杂道路网中正确生成stroke,针对道路网中的双行道和道路交叉口模式提出一种新的stroke生成方法.该方法采用道路街区几何形态分析、基于连通关系的层次聚类等算法自动识别出道路网中的双行道和道路交叉口模式,并使用穷举stroke配对组合算法连接截断的stroke,从而保证stroke的连续性.以武汉市NAVIN-FOTM导航电子地图数据为例验证该方法的实用性,生成的stroke符合stroke感知归组原则中平滑连贯的要求.