基于SICAD／Open空间拓扑结构的地籍空间实体图形变更处理

简要介绍了一种GIS平台SICAD/Open，详细描述了SICAD/Open空间拓扑结构，给出了基于SICAD/Open空间拓扑结构的地籍空间实体图形变更处理方法，为在地籍信息系统中利用地理信息系统技术实现地籍空间实体图形变更提供了一种切实可行的操作方法。文中描述的处理方法已成功应用于上海市地籍管理信息系统中。     

基于数码相机立体像对的物体3维信息快速获取方法

研究了数码相机的内方位元素检测和镜头畸变差校正，应用近景摄影测量的原理与方法，提出了一种基于立体像对无物方控制的物体表面3维模型信息快速获取方法，试验表明，该方法获取3维信息速度快、精度较高。同时文中还比较了可变焦数码相机和固定焦距相机在获取3维信息精度方面的差异。     

空间数据仓库研究综述

论述了空间数据仓库的定义、基本特征；着重叙述了目前国内外空间数据仓库在学术研究、产品研制和实际应用方面的发展现状；设计出了空间数据仓库的体系结构，说明了空间数据仓库和应用系统的区别与联系；最后得出结论，为支持我国空间数据基础设施建设，研制空间数据仓库十分必要。     

虚拟实体生成技术研究

介绍了虚拟实体的定义、研究内容和一个研究实例，并指出了虚拟实体生成研究对测绘保障的意义。     

改进Moser法射线追踪

地震波场正演模拟、层析成像、偏移成像经常需要用到射线追踪,本文在基于图形理论的Ｍｏｓｅｒ法基础上,改进其网格节点的划分、追踪时路径的选取,并增加直射线追踪以消除在速度变化不大时射线受节点布置影响出现不合理的折曲现象．     

测绘行业管理处2009年工作要点

国务院、山东省政府于2007年9月和2008年7月分别下发了《关于加强测绘工作的意见》和《关于进一步加强测绘工作的意见》（以下简称《意见》）,要求进一步加强测绘工作。2009年山东省国土资源厅测绘行业管理处的总体工作思路是：以邓小平理论和“三个代表”重要思想为指导,深入学习实践科学发展观,     

Causes of rockfalls in Al-Huwayshah area,Yemen

According to topography of Yemen,most areas and villages are located at obligated crest,toe of mountain and under cliffs.Therefore Al-Huwayshah consisting of Tawilah sandstone group is characterized by steep slope reach to 90° in some areas.This area is affected by strong tectonic movements and faults that occurred during the geological epochs.This effect enhances to find out fractures and joints as well as the rocks become brittle and ready to slide depending on the position of area.And there are some frac...     

Distribution and characteristics of volcanic reservoirs in China

About forty productive oil/gas fields hosted in volcanic reservoirs have been found since 1957 in fourteen basins of China. They can be simply subdivided into two groups, the east and the west. Reservoir volcanic rocks of the east group are predominantly composed of Late Jurassic to Early Cretaceous rhyolite and Tertiary basalt, preferred being considered as rift type volcanics developed in the circum-Pacific tectonic regime. Those of the west are Permo-Carboniferous intermediate/basic volcanic rocks, being island-arc type ones developed in paleo-Asian Ocean tectonic regime.     

Study on drilling mechanism and optimization of percussion-extruding DTH hammer bit

The authors tested the percussion-extruding Down-the-hole （DTH）hammer bit with five different structures and mainly analyzed the drilling mechanism between conical bit and stepped bit. In addition, aiming at ＂the pile effect＂ in combination with the advantage＇ of stepped bit, we design a new cam spinning bit and test it outdoors. The result shows that using cam spinning bit can solve the problem of ＂the pile effect＂, which can also obtain higher drilling efficiency than using conical bit in high confining pressure strata. It is characterized by novel structure and high drilling speed as well as good guiding, and it is significant for improving efficiency in percussion-extruding drilling technique.     

Extending self-organizing maps for supervised classification of remotely sensed data

An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.