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| 1 | A Predictive GIS Model for Potential Mapping of Copper, Lead, and Zinc in Langping Area, China显示文摘Mineral resource potential mapping is a complex analytical process,which requires the consideration and the inte-gration of a number of spatial evidences like geological,geomorphological,and wall rock alteration.The aim of this paper is to establish mineral exploration model for copper,lead,and zinc in Lanping basin area using the capability of analytical tools of Geographic Information System(GIS) and remote sensing data to generate maps showing favorable mineralized area.The geo-exploration dataset used for the research includes copper,lead,and zinc deposits,geological maps,topographic maps,structural maps,and ETM+ imagery.Geological features indicative of potential copper,lead,and zinc were extracted from the datasets input in the predictive model.The method of weights of evidence modeling is a probability-based technique for generating mineral potential maps using the spatial distribution of indicative features with respect to the known mineral occur-rences.The method of weights of evidence probabilistic modeling provides a quantitative method for delineating areas with potential of copper,lead,and zinc mineral deposits in the Lanping Basin area.weights(W+,W-) and contrast(C=(W+) -(W-) ) calculations guide the data-driven modeling.The four most important spatial features for exploration guide for copper,lead,and zinc mineralization hosted in the Lanping Basin area are alteration zones,faults,host rocks,and lineaments.The host rocks and deep faults have the strongest spatial association with the known copper,lead,and zinc deposits.The hydrothermal alteration zones have the moderate spatial association with the copper,lead,and zinc deposits.The predicted high-favorability zones do not show the strong affinity with lineaments.The distribution of 22(copper,lead,and zinc) occur-rences in the Lanping Basin was examined in terms of spatial association with various geological phenomena.The analysis of these relationships using GIS and weights of evidence modeling has predicted areas of high and moderate mineral potential,where a little or no mining activities exist. | Tarik. B. Benomar HU Guangdao BIAN Fuling | 2009 | Geo-Spatial Information Science2009,12,4: | 3 |
| 2 | 4D DATA FUSION TECHNIQUE IN URBAN WATERLOG-DRAINING DECISION SUPPORT SYSTEM显示文摘This paper studies urban waterlog_draining decision support system based on the 4D data fusion technique.4D data includes DEM,DOQ,DLG and DRG.It supplies entire databases for waterlog forecast and analysis together with non_spatial fundamental database.Data composition and reasoning are two key steps of 4D data fusion.Finally,this paper gives a real case: Ezhou Waterlog_Draining Decision Support System (EWDSS) with two application models,i.e.,DEM application model,water generating and draining model. | Li Jun Bian Fuling | 2000 | Geo-Spatial Information Science2000,3,3: | 3 |
| 3 | Interrelations Between Socio-economic Development and Environmental Quality:a Simulation Integrating System Dynamics Models with GIS显示文摘System dynamics (SD) theory has long been deployed in modeling complex non-linear interrelationships but, so far it has not been common to do the kind of modeling in support of bringing environmental sustainability policies to practice. This is largely because the challenge of including spatial data has not yet been well met. Potential for adoption of SD and GIS methods in combination is exemplified with the results of a decision-support exercise designed for simulation and prediction of the dynamic inter-relationships between socio-economic development and environmental quality for the 'Wen, Pi, Du' county in Sichuan province, southwestern China. | YU Jie BIAN Fuling PETERSON Jim LI Pingxiang | 2005 | Geo-Spatial Information Science2005,8,3: | 2 |
| 4 | A Framework for Autonomous LBS in Wireless Pervasive Computing Environments显示文摘 | Li Fang Li Xialei Bian Fuling | 2007 | Proceedings of the 9th International Conference on Advanced Communication Technology2007,,3: | 1 |
| 5 | Distributed Geospatial Analysis through Web Processing Service: A Case Study of Earthquake Disaster Assessment显示文摘 | Xiaoliang Meng Yichun Xie Fuling Bian | 2010 | Journal of Software2010,,6: | 1 |
| 6 | Predictive GIS Model for Potential Mapping of Cu,Pb,Zn Mineralization显示文摘The geologic features indicative of Cu, Pb, Zn mineral deposits in a area are fractures (structure), and host rock sediments. Datasets used include Cu, Pb, Zn deposit points record, geological data, remote sensing imagery (Landsat TM5). The mineral potential of the study area is assessed by means of GIS based geodata integration techniques for generating predictive maps. GIS predictive model for Cu, Pb, Zn potential was carried out in this study area (Weixi) using weight of evidence. The weights of evidence modeling techniques is the data driven method in which the spatial associations of the indicative geologic features with the known mineral occurrences in the area are quantified, and weights statistically assigned to the geologic features. The best predictive map generated by this method defines 24% the area having potential for Cu, Pb, Zn mineralization further exploration work. | Tarik. B. Benomar BIAN Fuling | 2006 | Geo-Spatial Information Science2006,9,2: | 0 |
| 7 | THREE DIMENSIONAL DATA STRUCTURE AND DATA MODEL显示文摘D GISs were developed simultaneously in the late 1980s in a number of different disciplines.The development of these 3D GISs can not yet meet all needs for new representations and analytical tools in 3D environments.In this paper,the data structures,especially solid_based data representations are introduced.Then,a typical object_oriented data model is put forth to show a new data model.And at last,two data access methods are proposed to make the data model clear. | Bian Fuling Zhu Guobin Li Jun Tan Xiaojun | 2000 | Geo-Spatial Information Science2000,3,3: | 0 |
| 8 | AUTOMATIC RECOGNITION OF FREIGHT CAR NUMBER显示文摘This paper discusses methods for character extraction on the basis of statistical and structural features of gray_level images,and proposes a dynamic local contrast threshold method accommodating to line width.Precise locating of character string is realized by exploiting horizontal projection and character arrangements of binary images in horizontal and vertical directions respectively.Also discussed is the method for segmentation of characters in binary images,which is based on projection taking stroke width and character sizes into account.A new method for character identification is explored,which is based on compound neural networks.A complex neural network consists of two sub_nets,the first sub_net performs self_association of patterns via 2_dimentional local_connected 3_order networks,the second sub_net,linking with a locally connected BP networks,performs classification.The reliability of the network recognition is reinforced by introducing conditions for identification denial.Experiments confirm that the proposed methods possess the advantages of impressive robustness,rapid processing and high accuracy of identification. | FU Zhongliang Bian Fuling Zhou Songtao Hu Qingwu | 2000 | Geo-Spatial Information Science2000,3,3: | 0 |