2012 20th International Conference on Geoinformatics最新文献_第4页

Feature selection using rough set theory for object-oriented classification of remote sensing imagery 基于粗糙集理论的面向对象遥感图像分类特征选择

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270343

Guifeng Zhang, Lina Yi

引用次数: 7

Collaborative virtual geographic environment system for risk assessment of barrier lakes 堰塞湖风险评估协同虚拟地理环境系统

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270324

Jun Zhu, Ya Hu, J. Gong, Yi Li

引用次数: 2

Development and application of three-dimension simulation engine in geological environment simulation with a case study in Yilin 三维模拟引擎在地质环境模拟中的开发与应用——以宜林为例

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270292

Yongan Zhao, Shutao Huang, Lun Wu, Yuan Tian

引用次数: 0

A research on 3D reconstruction of building rooftop models from LiDAR data and orthophoto 基于激光雷达和正射影像的建筑物屋顶模型三维重建研究

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270277

Lihua Tong, Manchun Li, Yanming Chen, Yafei Wang, Wen Zhang, Liang Cheng

{"title":"A research on 3D reconstruction of building rooftop models from LiDAR data and orthophoto","authors":"Lihua Tong, Manchun Li, Yanming Chen, Yafei Wang, Wen Zhang, Liang Cheng","doi":"10.1109/Geoinformatics.2012.6270277","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270277","url":null,"abstract":"A new method for 3D reconstruction of building rooftop models from LiDAR data and orthophto is proposed. The main contributions of this method include a triangular cluster - based algorithm for rooftop patch segmentation and a strategy to extract ridge lines of rooftop patches by the integration of LiDAR data and orthophoto. The process consists of a consequence of three steps. Firstly, a Delaunay triangular network is constructed from LiDAR data and a triangular cluster - based segmentation is executed to separate rooftop patches from this triangular network. Ridge lines of rooftops are then extracted by overlaying the extracted lines from orthophoto and the segmented rooftop patches. Finally, 3D rooftop models are reconstructed with the segmented rooftop patches and the extracted ridge lines. The experiment demonstrates that this proposed method can construct 3D building rooftop models with high correctness, completeness and geometric accuracy. For the reconstructed 3D rooftop models in test area 1 and 2, the correctness are 86%, 90%, respectively; the completeness are 85%, 88%, respectively; the positioning precision are 0.39m, 0.31m, respectively.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"37 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":"125931727","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: 7

The hydrological response to human activities in Guishui River Basin, Beijing, China 北京贵水河流域对人类活动的水文响应

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270318

Yuming Liu, Jing Zhang, Pengfei Wu, H. Gong

引用次数: 0

Texture feature analysis in oil spill monitoring by SAR image SAR图像溢油监测中的纹理特征分析

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270284

Lai Wei, Zhuowei Hu, Meichen Guo, Minbin Jiang, Shuo Zhang

引用次数: 13

Modification of SMB speckle filter for polarimetric TerraSAR-X data 偏振TerraSAR-X数据SMB散斑滤波器的改进

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270332

Hongzhong Li, Jinsong Chen

引用次数: 1

Message from the conference co-chairs 来自会议联合主席的信息

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270358

Hui Lin, Xun Shi

引用次数: 0

NDVI-LST feature space based drought monitoring using MERSI data in Hunan Province of China 基于MERSI数据的NDVI-LST特征空间的湖南省干旱监测

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270300

Xiang Li, Yuanyuan Wang, Shihao Tang, S. Shen

{"title":"NDVI-LST feature space based drought monitoring using MERSI data in Hunan Province of China","authors":"Xiang Li, Yuanyuan Wang, Shihao Tang, S. Shen","doi":"10.1109/Geoinformatics.2012.6270300","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270300","url":null,"abstract":"MERSI (MEdium Resolution Spectral Imager) on board FY3A polar-orbiting meteorological satellite has five channels (four VIS and one thermal IR) with a spatial resolution of 250 m. This paper explores the utility of MERSI in drought monitoring through a case study in Hunan Province of China in May, 2011. Feature space of LST and NDVI are established and three indices including TVDI (Temperature Vegetation Dryness Index), VTCI (Vegetation Temperature Condition Index) and VSWI (Vegetation Supply Water Index) are extracted to provide spatial information on drought. Correlation analysis is carried out between the three indices and soil moisture data collected from meteorological stations. MODIS data are processed in the same way to provide a benchmark for MERSI performance evaluation. Results indicate that TVDI and VTCI are more correlated with top soil moisture. VSWI is inferior to TVDI and VTCI probably due to its sensitivity to topography and land cover type. Although correlation coefficients between MODIS-derived indices and soil moisture are a little higher than MERSI-derived indices, MERSI is able to show more rich spatial details due to its high spatial resolution. The case study demonstrates that MERSI data quality is adequate for drought monitoring and it is worthwhile to apply MERSI data to more wide applications.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"12 1 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":"116633868","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

Object-oriented remote sensing imagery classification accuracy assessment based on confusion matrix 基于混淆矩阵的面向对象遥感图像分类精度评价

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270271

Lina Yi, Guifeng Zhang

{"title":"Object-oriented remote sensing imagery classification accuracy assessment based on confusion matrix","authors":"Lina Yi, Guifeng Zhang","doi":"10.1109/Geoinformatics.2012.6270271","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270271","url":null,"abstract":"This paper designs an object-based confusion matrix (OCM) classification accuracy assessment scheme to accurately estimate the overall and individual category classification accuracy. The estimation protocol and the sample data collection procedures are both taken into account. On the one hand, the two commonly used OCM construction methods based on object element and weighted by object area are analyzed, which indicate the classifier's distinguish ability and the thematic map accuracy respectively. With consideration that the object location uncertainty introduces the reference category uncertainty and may lead to the bias of thematic map accuracy assessment result, a novel fuzzy OCM construction method is proposed to more accurately assess the classification accuracy. On the other hand, a simple sample data collection strategy is proposed and validated to collect representative accuracy assessment samples. The object-oriented Quickbird image land use classification accuracy assessment experiment results are analyzed to validate the applicability of the proposed schemes. Suggestions on how to use object-based confusion matrix method in classification accuracy assessment are given in conclusion.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"24 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":"126033306","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: 10