2011 19th International Conference on Geoinformatics最新文献_第5页

Line-based registration for UAV remote sensing imagery of wide-spanning river basin 基于线的大跨度流域无人机遥感影像配准

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980864

Wenqian Zang, Jiayuan Lin, Baosen Zhang, H. Tao, Zhongmei Wang

{"title":"Line-based registration for UAV remote sensing imagery of wide-spanning river basin","authors":"Wenqian Zang, Jiayuan Lin, Baosen Zhang, H. Tao, Zhongmei Wang","doi":"10.1109/GEOINFORMATICS.2011.5980864","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980864","url":null,"abstract":"With the development of Unmanned Aerial Vehicles (UAVs) remote sensing technique, some researchers began to apply the UAV imagery to investigate Yellow River's dike hazards. There has been an urgent need for establishing automatic and accurate registration techniques of UAV remote sensing imagery. High-precision image registration will enhance the reliability of the investigation. As the Yellow River is very wide, it is very difficult to find enough Ground Control Points (GCP) and the limited GCPs are usually distributed unevenly. Therefore, the traditional point-based image registration approach cannot satisfy the requirements of imagery registration. However, the river basin contains linear features richly. This paper proposes a line-based registration approach for UAV remote sensing imagery of the wide-spanning river basin. This method regards the segment straight line as the registration primitives. After detect the primitives of input images, we estimate the parameters of transformation model between reference-image and registering-image with Modified Iterated Hough Transform (MIHT). Experiments using the UAV imagery of Ning-Meng section of Yellow River conclude that this is a robust method for registration for UAV remote sensing imagery of wide-spanning river basin.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121420821","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: 5

TR32DB — Management and visualization of heterogeneous scientific data TR32DB -异构科学数据的管理和可视化

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981092

C. Curdt, D. Hoffmeister, Christian Jekel, S. Brocks, G. Waldhoff, G. Bareth

引用次数: 5

The GEOSS clearinghouse high performance search engine GEOSS清算所高性能搜索引擎

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981077

Kai Liu, C. Yang, Wenwen Li, Zhenlong Li, Huayi Wu, A. Rezgui, J. Xia

{"title":"The GEOSS clearinghouse high performance search engine","authors":"Kai Liu, C. Yang, Wenwen Li, Zhenlong Li, Huayi Wu, A. Rezgui, J. Xia","doi":"10.1109/GEOINFORMATICS.2011.5981077","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981077","url":null,"abstract":"The Global Earth Observation (GEO, 2005) was envisioned as a prelude to a Global Earth Observation System of Systems (GEOSS). The Common Infrastructure (GCI) is a geospatial cyberinfrastructure to facilitate the easy discovery, access, and utilization of Earth observation data, information, tools and services through standardized metadata (ISO 19139). The GEOSS Clearinghouse is the engine that drives the entire GCI. It provides a search capability against existing catalogues from GEO members and participating organizations, highlights the range of functionality possible, and creates a basis for a more persistent operational capability. The Center for Intelligent Spatial Computing at George Mason University (CISC) worked with the Federal Geographic Data Committee (FGDC) to research and develop such a clearinghouse and was later selected by GEO as the GEOSS clearinghouse. By Mar.3, 2011, 29 catalogs with 110 K metadata had been registered/harvested into the clearinghouse. A high performance based on Lucene and GeoTools search engine is integrated in the clearinghouse. All the metadata are converted into ISO 19139 and stored in the GEOSS clearinghouse database in the harvest process. Based on ISO 19139 template, text in each field can be easily parsed for text index with Lucene, and also spatial bounding box can be easily gotten for spatial index with GeoTools. With the integration of Lucene and GeoTools, both local and remote users can search against the hundreds of thousands of metadata to receive response in less than 2 second.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116481709","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: 19

Personalized route planning based on the semantic network: A case study of Kanazawa City, Japan 基于语义网络的个性化路线规划——以日本金泽市为例

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980877

Zhenjiang Shen, Feiyu Hu, Mitsuhiko Kawakami

引用次数: 3

Application of SharpMap open source mapping library in fisheries SharpMap开源地图库在渔业中的应用

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980769

Shengmao Zhang, Weifeng Zhou

引用次数: 3

GIS-based analysis of flood disaster risk in LECZ of China and population exposure 基于gis的中国LECZ地区洪涝灾害风险及人口暴露分析

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980841

Jianli Liu, J. Wen, Kai Yang, Z. Shang, Haiying Zhang

引用次数: 8

Incremental harvesting model of distributed geospatial data registry center based on CSW 基于CSW的分布式地理空间数据注册中心增量收获模型

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980863

Ming Li, Xinyan Zhu, Yifang Mei

引用次数: 1

An intelligent information sharing method of heterogeneous geographic data based on unified metamodel and entity matching 基于统一元模型和实体匹配的异构地理数据智能信息共享方法

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980694

Shanzhen Yi, Yuntao Lu

引用次数: 3

Modeling the spatial-temporal dynamics of net primary production in Yangtze River Basin using IBIS model 基于IBIS模型的长江流域净初级生产时空动态模拟

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981181

Zhen Zhang, Hong Jiang, Jinxun Liu, Qiu'an Zhu, Xiaohua Wei, Zi-shan Jiang, Guomo Zhou, Xiuying Zhang, Juejing Han

引用次数: 0

Extracting spatial association rules from the maximum frequent itemsets based on Boolean matrix 基于布尔矩阵的最大频繁项集空间关联规则提取

2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980870

Junming Chen, Guangfa Lin, Zhihai Yang

引用次数: 5