检索结果-南通市图书馆

Geo-Spatial Information Science 2004年第3期7卷 187-192页

作者： MushtakTalibJabbar huguangdao ZHANGZhenfei ChinaUniversityofGeosciences.31LumoRoad Wuhan430074China. 不详

The policy of the Chinese government concerning the horizontal expansion of the cultivated land through the reclamation of desert soils result in a total increase of 665.985 km 2 during the period 1987\|1999 in North Shaanxi. This increase is less than the loss in arable land by urbanization. The accelerated rate of change in agricultural areas calls for more rapid surveys of urbanization and loss of arable land. Remote sensing has a number of advantages over ground\|based methods for such surveys. The multi\|scale concept of remote sensing data help us study the problem in four towns. Several maps were produced to analyze the situation of urban coverage in different times. The evaluation of the status, rate and risk of urbanization are based on an accepted average of urban increase as 2% of population growth per year.

关键词： urbanization population pressure arable land desertification remotesensing GIS

Development of Geological Data Warehouse

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Journal of China University of Geosciences 2003年第3期14卷 261-264页

作者： LiZhenhua huguangdao ZhangZhenfei DepartmentofComputerScience&Technology ChinaUniversityofGeosciencesWuhan430074 FacultyofEarthResources ChinaUniversityofGeosciencesWuhan430074

Data warehouse (DW), a new technology invented in 1990s, is more useful for integrating and analyzing massive data than traditional database. Its application in geology field can be divided into 3 phrases: 1992-1996, commercial data warehouse (CDW) appeared; 1996-1999, geological data warehouse (GDW) appeared and the geologists or geographers realized the importance of DW and began the studies on it, but the practical DW still followed the framework of DB; 2000 to present, geological data warehouse grows, and the theory of geo-spatial data warehouse (GSDW) has been developed but the research in geological area is still deficient except that in geography. Although some developments of GDW have been made, its core still follows the CDW-organizing data by time and brings about 3 problems: difficult to integrate the geological data, for the data feature more space than time; hard to store the massive data in different levels due to the same reason; hardly support the spatial analysis if the data are organized by time as CDW does. So the GDW should be redesigned by organizing data by scale in order to store mass data in different levels and synthesize the data in different granularities, and choosing space control points to replace the former time control points so as to integrate different types of data by the method of storing one type data as one layer and then to superpose the layers. In addition, data cube, a wide used technology in CDW, will be no use in GDW, for the causality among the geological data is not so obvious as commercial data, as the data are the mixed result of many complex rules, and their analysis always needs the special geological methods and software; on the other hand, data cube for mass and complex geo-data will devour too much store space to be practical. On this point, the main purpose of GDW may be fit for data integration unlike CDW for data analysis.

关键词： data warehouse (DW) geological data warehouse (GDW) space control points data cube

Accessing Multi-Source Geological Data through Network in MORPAS Software System

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Journal of China University of Geosciences 2003年第3期14卷 265-268页

作者： MeiHongbo huguangdao ChinJian~o LiZhenhua Institute of Mathematical Geology&RemoteSensing China University of GeosciencesWuhan430074 Department of Computer Science and Technology China University of GeosciencesWuhan430074

MORPAS is a special GIS (geographic information system) software system, based on the MAPGIS platform whose aim is to prospect and evaluate mineral resources quantificationally by synthesizing geological, geophysical, geochemical and remote sensing data. It overlays geological database management, geological background and geological abnormality analysis, image processing of remote sensing and comprehensive abnormality analysis, etc.. It puts forward an integrative solution for the application of GIS in basic-level units and the construction of information engineering in the geological field. As the popularization of computer networks and the request of data sharing, it is necessary to extend its functions in data management so that all its data files can be accessed in the network server. This paper utilizes some MAPGIS functions for the second development and ADO (access data object) technique to access multi-source geological data in SQL Server databases. Then remote visiting and congruous management will be realized in the MORPAS system.

关键词： multi-source geological data SQL Server accessing data through network

Genetic Modeling of GIS-Based Cell Clusters and Its Application in Mineral Resources Prediction

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Journal of China University of Geosciences 2003年第1期14卷 85-89,94页

作者： ZhangZhenfei huguangdao YangMingguo XiaQinglin JiJinseng GaoFengliang InstituteofMathematicalGeologyandRemoteSensing ChinaUniversityofGeosciencesWuhan430074 DepartmentofGeosciencesandLandResources ChanganUniversityXian710054

This paper presents a synthetic analysis method for multi sourced g eo logical data from geographic information system (GIS). In the previous practices of mineral resources prediction, a usually adopted methodology has been sta tistical analysis of cells delimitated based on thoughts of random sampling. Tha t might lead to insufficient utilization of local spatial information, for a cel l is treated as a point without internal structure. We now take “cell clusters ”, i. e. , spatial associations of cells, as basic units of statistics, thus th e spatial configuration information of geological variables is easier to be dete cted and utilized, and the accuracy and reliability of prediction are improved. We build a linear multi discriminating model for the clusters via genetic algor ithm. Both the right judgment rates and the in class vs. between class distan ce ratios are considered to form the evolutional adaptive values of the populati on. An application of the method in gold mineral resources prediction in east Xi njiang, China is presented.

关键词： mineral resources prediction multi discrimination genetic algorith m GIS Xinjiang.

An Approach to Spectral Discrimination of Rocks Using ASAI and Rough Sets

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Journal of China University of Geosciences 2003年第3期14卷 257-260页

作者： ZhangZhenfei huguangdao YangMingguo LiuXing WangZhenlmi LiWenhui ZhangXiaobing HeLi InstituteofMathematicalGeology&RemoteSensing ChinaUniversityofCeosciencesWuhan430074 TheThirdGeologicalTeamofYunnanProvince Dali671000

Field data of outcrop spectrums provide important basis for modeling of hyper-spectral remote sensing aiming at mineral prospecting. We make an approach to the application of rough set theory in spectral discrimination of rocks. We build a decision table with an adequate number of samples (outcrops) of known rock type (the universe), of which the conditional attributes are discretized 'area spectrum absorption indexes' (ASAI) corresponding to wavelength intervals, and the decision attribute is rock type. We search to obtain the exhaustive set of reducts of the table, each of which will serve as a variable number of deduction rules. Suppose we have n (usually a very big number) rules in total and there are m types of rocks in our universe, for any unknown sample, we judge its rock type by each of those rules. An unknown sample may be recognized as a different type by different rules because it is outside our universe, and we accept the most frequent judgment result and ignore the other m-1 types of results. Our ASAI is an improvement upon the traditional spectrum absorption index (SAI), better applicable to field spectrums: given a spectrum curve and a wavelength interval, we take the average reflectance within the interval as a base line and let ASAI=a below/(a above+a below), where a below and a above stand for total areas, bounded by the curve, the base line and the borders of the intervalbelow and above the base line respectively. With the equipments of FieldSpectr Fr (made by ASD Co., US), we collected data from Baiya gold deposit, Yunnan, and applied the above method to discriminate altered rocks as an experiment. The results show satisfactory performance of the method.

关键词： rough set spectral discrimination area spectrum absorption index

GIS环境下地质变量自动提取与地质异常的圈定

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计算机工程与应用 2003年第14期39卷 81-85页

作者：曹瑜胡光道杨志峰沈珍瑶北京师范大学环境科学研究所北京100875 中国地质大学(武汉)数学地质研究所武汉430074

通过对研究区合理的网格单元划分,介绍地理信息系统(GIS)提取地质变量的原理,即利用GIS的空间叠加功能,实现地质变量自动提取。在此基础上,进行变量综合,挖掘隐含信息。过滤与已知矿产有关的变量,圈定地质异常,它是研究致矿异常和发现... 详细信息

通过对研究区合理的网格单元划分,介绍地理信息系统(GIS)提取地质变量的原理,即利用GIS的空间叠加功能,实现地质变量自动提取。在此基础上,进行变量综合,挖掘隐含信息。过滤与已知矿产有关的变量,圈定地质异常,它是研究致矿异常和发现新矿产地的基础。以云南省维西地区为实例,按上述方法原理,提取其地质变量,圈定其地质异常。已发现的矿体(包括矿化点)中,有76.84%矿体(含矿化点)落入异常区内。

关键词： GIS环境地质变量自动提取地质异常圈定