2012 20th International Conference on Geoinformatics最新文献_第2页

Remote sensing recognition, concentration classification and dynamic analysis of cyanobacteria bloom in Dianchi Lake based on MODIS data 基于MODIS数据的滇池蓝藻华遥感识别、浓度分类及动态分析

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270331

Meie Pan, Kun Yang, Xudong Zhao, Quanli Xu, Shuangyun Peng, L. Hong

引用次数: 4

Using collaborative virtual geographic environment for fire disaster simulation and virtual fire training 利用协同虚拟地理环境进行火灾模拟和虚拟消防训练

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270339

Rui Wang, Bin Chen, F. Huang, Yu Fang

引用次数: 10

Empirical analysis in factors affecting spatial data sharing 空间数据共享影响因素的实证分析

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270272

Hsien Chao, T. Chou

{"title":"Empirical analysis in factors affecting spatial data sharing","authors":"Hsien Chao, T. Chou","doi":"10.1109/Geoinformatics.2012.6270272","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270272","url":null,"abstract":"Spatial data sharing is fundamental to the promotion of spatial data infrastructure. Data sharing is affected by diverse and complex factors, which have been studied largely by the approach of observing organizational development. Quantitative messages and qualitative descriptions have been obtained through gathering of organizational messages from short-term surveys with massive questionnaires or through relatively in-depth case studies. But the stability of research results has been affected by the questionnaire contents, the appropriateness of responding subjects chosen, how thorough the understanding of organizational operation was and the timing of investigation, as well as the judgment of the correctness of the information gathered. Given little research having investigated the messages about the subjects by long-term observation, this article takes the approach of direct, in-depth involvement and long-term observation on the organizational process of spatial data sharing to gather the first-hand and consistent data of Taichung City Government's n development on spatial data over the span of 17 years. Preliminary analysis of the factors affecting spatial data sharing is made by empirical research. Also, the complexity of spatial data sharing is explained from the multiple, interactive dimensions of Balanced Scorecard. The present research presents to verify, based on empirical data, that the dimension of influence of regulation enforcement is a direct and crucial factor, with part of the findings echoing to other previous research. The present research is hoped to understand, based on the materials of unprecedented, long-term empirical research, the real causes of the influences on spatial data sharing and to explain it.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130891956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An automatic sorting approach of surface bundle based on the shared space curve 基于共享空间曲线的曲面束自动分选方法

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270269

Changbin Yu, Shen Ying, B. He, Zhigang Zhao

{"title":"An automatic sorting approach of surface bundle based on the shared space curve","authors":"Changbin Yu, Shen Ying, B. He, Zhigang Zhao","doi":"10.1109/Geoinformatics.2012.6270269","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270269","url":null,"abstract":"The construction of the property right volume is an important prerequisite for data management and topology maintenance in 3D cadastre, and the automatic sorting approach of patches is important to construction of the smallest solid. When property right volumes as true 3D objects are constructed, not only ideal situations that closed patches are discrete planes, but also general conditions that property right boundaries are surfaces should be taken into account. So, firstly, conceptual descriptions of boundary surfaces and mathematical expressions of both the shared curve and the cutting plane are proposed based on theory of point-set topology. Secondly, obeying the principle of topological consistency, an automatic sorting approach and corresponding restrictions are put forward by detailed processes about local interpolation of the surface, calculation of the feature polyline, sorting of the cutting plane bundle. Particularly, this paper emphasizes on the method to obtain the feature polyline of the cutting plane taking triangulation interpolation of the surface in Google SketchUp for example. It is hoped that what is discussed in this paper could provide some references for constructing the smallest solid closed by discrete surface patches applied in urban space utilization cases such as 3D cadastre.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121026868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Denoising of hyperspectral imagery using a spatial-spectral domain mixing prior 使用空间-光谱域混合先验的高光谱图像去噪

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270354

Shaolin Chen, Xiyuan Hu, Silong Peng

引用次数: 2

Research on method of extracting vegetation information based on band combination 基于波段组合的植被信息提取方法研究

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270287

Lijuan Zhao, Lin Zhu

{"title":"Research on method of extracting vegetation information based on band combination","authors":"Lijuan Zhao, Lin Zhu","doi":"10.1109/Geoinformatics.2012.6270287","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270287","url":null,"abstract":"Improvement of accuracy in extracting surface features information is significant and sophisticated. This paper improves the method of extracting vegetation information by selecting the best bands group in West Liao River Basin. The medium-resolution of Landsat TM image with the solution of 30 meter obtained in 2010 were selected as the data source. During the extraction process, Principal Component Analysis is used to separate key information from background noise, which reduces the data redundancy. With the consideration of vegetation chlorophyll information, containing more information, the second principal component was selected to analyzing the bands correlation coefficient. Normalized difference vegetation index (NDVI) was chosen as one component. By calculating the correlation coefficient of band1 to band5, band7, the second principal components and NDVI, we found band1, PC2 and NDVI have the least correlation. Maximum Likelihood method of supervised classification is used to classify the surface features on basis of band1, PC2, NDVI and band5, band4, band3 combination image, respectively. The result shows that the overall accuracy of classification based on the new bands combination increased by 6.45% than based on original band. The main reasons are that the new band combination can eliminate texture interference and has the little correlation coefficient.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127746355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Multi-type sweeping for improving the efficiency of flow accumulation calculation 多扫型，提高流量累积计算效率

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270266

Yuanzhi Yao, H. Tao, Xun Shi

引用次数: 3

A curvature-based statistical method for generating DTM from LiDAR Point Cloud 基于曲率的激光雷达点云DTM生成统计方法

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270297

Jianhua Wan, Ronggang Huang, Zhe Zeng, Shujuan Sun

引用次数: 0

On the use of cloud computing for geospatial workflow applications 云计算在地理空间工作流应用中的应用

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270263

Xiaolu Ji, Bin Chen, Zhou Huang, Zhengwei Sui, Yu Fang

{"title":"On the use of cloud computing for geospatial workflow applications","authors":"Xiaolu Ji, Bin Chen, Zhou Huang, Zhengwei Sui, Yu Fang","doi":"10.1109/Geoinformatics.2012.6270263","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270263","url":null,"abstract":"The Cloud is considered to be an important platform for the execution of scientific applications such as scientific workflows. Effective plan and management are desired in complex spatial analysis and decision applications. Geospatial workflow provides a scientific solution to manage such geospatial processes; it can define geospatial processes precisely to solve particular spatial-referenced issues in GIS applications. In this paper we explore the use of cloud computing for geospatial workflow applications, focusing on a well-known geospatial application - Weights of Evidence Method Metallogenic Prediction. We propose the architecture of geospatial workflow applications in the Cloud as well as across Clouds, elaborate each of the components of the framework, including how the application could be deployed in a cloud environment, along with structure changes, useful tools and services. Finally we discuss the challenges of deploying and executing geospatial workflows in cloud environment and whether the widely used scientific workflow management system is able to support Sky computing by executing a single geospatial workflow across multiple Cloud infrastructures at the same time.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"76 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114022547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

3D modeling and accuracy assessment- a case study of photosynth 三维建模和精度评估-光合作用的案例研究

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270281

Jin-Tsong Hwang, J. Weng, Yi-Ting Tsai

引用次数: 5