川西坳陷中段中、新生代构造运动与须家河组生、储、盖层发育关系研究

川西坳陷中段中、新生代的构造运动主要表现为：早印支期的抬升、褶皱,构造雏形形成阶段。晚印支期褶皱、隆起发育,燕山期的挤压改造阶段。喜马拉雅运动对该区影响相对较小,仅形成了一些浅层断裂。研究表明,构造运动控制了坳陷中段的形成和发展,不仅控制了须家河组生储盖的发育,还控制着储层的孔隙度、渗透率变化．渗透率与孔隙度相关性较小,主要与裂缝有关。分析表明储层裂缝发育地带是有利的勘探区域。     

会理天宝山铅锌矿矿床地质特征及控矿条件浅析

通过阐明会理天宝山铅锌矿矿床地质特征分析,指出地层、岩相组合型式、构造组合是铅锌成矿最主要控矿条件。矿体定位于灯影组中上部的不纯富镁碳酸盐岩与较纯富镁碳酸盐岩过渡部位有利岩性中,而南北向主干深大断裂及其派生的旁侧东西向断裂与盖层的次一级断层、褶皱构造复合是成矿最有利的构造组合型式,多组构造交汇处的破碎带为成矿流体就位,聚集提供空间。认为矿区及外围的新山、何家屋基、马脖子梁地区找矿前景较好。     

利用人工神经网络方法对牙形石鉴定中若干“模糊特征”的数字化研究

牙形石是一类在地层学研究中具有重要意义的古生物化石。但由于牙形石鉴定中存在诸多重要、却难以定量分析的“模糊特征”,使得牙形石的鉴定和分类工作长期依赖于古生物工作者的经验。利用数学中的非线性方程将这些“模糊特征”进行数学描述,并利用人工神经网络中的反向传播算法设计出一套多隐含层的前馈网络分类器,对这些“模糊特征”进行分类尝试,取得了良好的效果,为牙形石的进一步数值化研究奠定了基础。     

机载SAR影像时空模型重构因子及3D特征提取

时空模型有助于人们获取类似于真实世界的时间及空间信息 ,对于城市工程设计、灾害预防决策及军事应用具有重要意义。本文探讨了机载SAR影像重构时空模型的潜力及方法 ,研究了时空模型重构因子、基于机载SAR影像的建筑物、植被的三维提取 ,以及相应的机载SAR影像时空建模一般方法     

Automatic placement of GIS vector map annotation in area feature by long-diagonal

IntroductionMap is a graphics expression of spatial infor-mation. Map language includes map symbolwhose basic languageis graphics ,and map anno-tation as nature language (letters) . Map annota-tion plays an i mportant role in computer aidedcartography and GIS.It is a complementarityformap graphics and makes the map hold richer in-formation[1].Map annotation is one of the international ar-duous problemsin automatic map generalization.With the development of computer technology ,the automatic …     

Modified multispectral space for color representation

IntroductionIn color reproduction and communication, met-amer exists inherently when the conventionalcondition matching used. Therefore , the colordifference introduced makes the accuracy of colorrepresentation be lowered.In order to eli minatemetamer CIE developed the scheme so-calledspectra matching in Publication 15 .2 and speci-fied that using band-pass filters with 5 nminter-val to sample and then reconstruct the originalcolor signal ,thus the color difference will disap-pear[1].Spectra…     

Integrating geography with physics and visual arts: Analysis of student essays

The article investigates the potential and challenges of integrating geography with other school subjects. The analysis is based on the outcomes of a course that introduced the principles of discipline-based integration. The course was included in multicultural-class teacher education programme at the University of Helsinki. For a project within the course, the students worked in small groups and made short films that integrated three subjects – geography, physics, and visual arts – in order to evoke questions of space in children's minds. The students were asked to write essays in which they analysed their understanding of space from the three subjects’ viewpoints, describe the aims and contents of their short films, and lastly reflect on their experiences of the potential and possible problems in discipline integration. In this article, the authors analyse the students’ experience of the integration between the geography, physics, and visual arts. In general, the students experienced discipline-based integration as an interesting way of working. Moreover, the project seemed to deepen their understanding of different grounds for integrative pedagogy. Although the students reported some difficulties regarding the subject knowledge required for fruitful integration, the process enabled them to construct a better understanding of the identity of each discipline.     

Early Detection of Terrorism Outbreaks Using Prospective Space–Time Scan Statistics

Terrorism is a complex phenomenon with high uncertainty involving a myriad of dynamic known and unknown factors. It is and will remain a challenge to predict or detect terrorism outbreaks at an early stage. This research presents an alternative approach for modeling terrorism activity, one that monitors and detects space–time clusters of terrorist incidents using prospective space–time scan statistics. Such clusters provide indicators of potential outbreaks of terrorist incidents. To evaluate the effectiveness of the approach, we analyze the terrorist incidents in the Consortium for the Study of Terrorism and Responses to Terrorism's (START) Global Terrorism Database (GTD) from 1998 to 2004. Clusters of terrorist events are detected at each time stamp and life trajectories of these clusters are constructed based on their space–time relationship to each other. Through the life trajectories and trends of clusters, we demonstrate how space–time scan statistics detect terrorism outbreaks at an early stage.     

A GEOGRAPHICAL ANALYSIS OF IMAGE INTERPRETATION METHODS

Image interpretation methods, procedures for relating image pattern to ground conditions, are essential to our use of remote sensing imagery. These methods can be analyzed in respect to the role of ancillary information in the image interpretation process. In general, those procedures that are comparatively independent of ancillary information can be applied in varied geographic settings. Because almost all interpretation procedures depend to some extent upon ancillary information, a detailed and integrated knowledge of the cultural and physical landscape is a prerequisite for both manual and automated interpretation procedures.