DZJ2激光垂准仪使用方法及指标的校正

介绍了DZJ2激光垂准仪的性能及基本指标的校正方法,为用户在使用DZJ2激光垂准仪过程中几种基本指标参数的校正提供参考.     

Comparing spatially varying coefficient models: a case study examining violent crime rates and their relationships to alcohol outlets and illegal drug arrests

In this paper, we compare and contrast a Bayesian spatially varying coefficient process (SVCP) model with a geographically weighted regression (GWR) model for the estimation of the potentially spatially varying regression effects of alcohol outlets and illegal drug activity on violent crime in Houston, Texas. In addition, we focus on the inherent coefficient shrinkage properties of the Bayesian SVCP model as a way to address increased coefficient variance that follows from collinearity in GWR models. We outline the advantages of the Bayesian model in terms of reducing inflated coefficient variance, enhanced model flexibility, and more formal measuring of model uncertainty for prediction. We find spatially varying effects for alcohol outlets and drug violations, but the amount of variation depends on the type of model used. For the Bayesian model, this variation is controllable through the amount of prior influence placed on the variance of the coefficients. For example, the spatial pattern of coefficients is similar for the GWR and Bayesian models when a relatively large prior variance is used in the Bayesian model.      

《卫星定位与导航》教学研究与探索

总结了《卫星定位与导航》课程中实践教学环节存在的若干问题,通过对存在问题进行分析,提出了几点建议,使该课程实践教学体系与理论教学体系形成互促互动的良性关系,提高了测绘相关专业毕业生参与社会化生产的能力。     

遥感技术在腾冲西南地区地热资源研究预测中的应用

利用TM数据,对滇西腾冲西南地区进行地质构造解译,阐明了该区多地热活动的原因.通过对TM6波段热红外异常信息的提取,经构造解译与地热异常分布区的叠加分析,发现了该区地热富集的规律性,提出了地热田的遥感影像模式.据此,预测出腾冲西南地区62处水热活动Ⅰ级异常区.     

Automatic techniques for 3D reconstruction of critical workplace body postures from range imaging data

The paper shows techniques for the determination of structured motion parameters from range camera image sequences. The core contribution of the work presented here is the development of an integrated least squares 3D tracking approach based on amplitude and range image sequences to calculate dense 3D motion vector fields. Geometric primitives of a human body model are fitted to time series of range camera point clouds using these vector fields as additional information. Body poses and motion information for individual body parts are derived from the model fit. On the basis of these pose and motion parameters, critical body postures are detected. The primary aim of the study is to automate ergonomic studies for risk assessments regulated by law, identifying harmful movements and awkward body postures in a workplace.     

GIS专业“空间数据库”课程教学内容和方法探讨

"空间数据库"课程是GIS专业的核心课程,也是一门综合性交叉学科,为地理信息系统提供了重要的理论基础和技术基础。本文从GIS专业的学科专业性质、人才培养目标出发,结合实际教学经验,对"空间数据库"课程的定位与目标、教学内容与方法进行了探讨,以期提高GIS专业学生应用"空间数据库"基本理论、基本方法和解决现实问题的能力。     

基于VRML的层状地质体3维建模

为了形象地表现层状地质体形态,本文利用VRML在虚拟环境中建立了3维地质体。根据层状地质体的实际情况,本文利用VRML中的几何形体建模节点ElevationGrid和IndexedFaceSet创建了3维地质体的虚拟现实模型。该方法利用钻孔数据获取层面数据,使用Surfer软件进行数据插值,得到网格化数据文件,用网格化文件与ElevationGrid节点相结合,模拟地质体上下表面,用IndexedFaceSet节点建立两层表面边界,从而构成一个视觉上闭合的3维实体。最后用此方法建立了层状地质体的虚拟现实模型实例。     

丹江口水库面积季节变化遥感监测

基于2014年2月19日、2014年6月7日和2014年10月8日的三景资源三号卫星影像分别作为春季、夏季和秋季的代表,以河南省内的丹江口水库为研究区域,采用面向对象的遥感影像监督分类方法进行影像的分割和分类,提取出遥感影像中的水体,并结合南水北调中线工程对水域面积和周围地物的影响对这3个时期的影像进行比较和分析,得出这3个时期水域面积的变化数据。     

地理国情监测在领导干部自然资源资产离任审计工作中的应用探讨

为积极配合审计部门开展领导干部自然资源资产离任审计工作,充分利用地理国情普查及监测成果,探索领导干部自然资源资产离任审计的内容、方法和评价指标体系,探讨了基于地理国情普查和监测数据成果、基础测绘及相关技术获取的各类自然资源资产基础数据。按专业部门现行标准与有关行业部门进行必要的专题数据整合和处理,建设市级自然资源本底数据库,摸清自然资源的存量与变量,为建立自然资源资产审计长效机制奠定扎实的基础。     

Multi‐scale approach to mining significant spatial co‐location patterns

Spatial co‐location pattern mining aims to discover a collection of Boolean spatial features, which are frequently located in close geographic proximity to each other. Existing methods for identifying spatial co‐location patterns usually require users to specify two thresholds, i.e. the prevalence threshold for measuring the prevalence of candidate co‐location patterns and distance threshold to search the spatial co‐location patterns. However, these two thresholds are difficult to determine in practice, and improper thresholds may lead to the misidentification of useful patterns and the incorrect reporting of meaningless patterns. The multi‐scale approach proposed in this study overcomes this limitation. Initially, the prevalence of candidate co‐location patterns is measured statistically by using a significance test, and a non‐parametric model is developed to construct the null distribution of features with the consideration of spatial auto‐correlation. Next, the spatial co‐location patterns are explored at multi‐scales instead of single scale (or distance threshold) discovery. The validity of the co‐location patterns is evaluated based on the concept of lifetime. Experiments on both synthetic and ecological datasets show that spatial co‐location patterns are discovered correctly and completely by using the proposed method; on the other hand, the subjectivity in discovery of spatial co‐location patterns is reduced significantly.