Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Geo-Information Science》 2008-01
Add to Favorite Get Latest Update

Visualizing Uncertainty in Classified Remote Sensing Images

GE Yong1,LI Sanping1,2(1 State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;2 Key Laboratory of Ministry of Education for Computational Intelligence & Chinese Information Processing,School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China)  
The inherent uncertainties in the real world and the limitation of human cognition are the primary factors of the abundance of uncertainty existing in the judgment of sciences to objectivities.An amount of uncertainties exist in the spatial data describing the spatial entity,including temporal-relative location data and attribute data,some of which may seriously distort the reliability of products.The remotely sensed imagery contains uncertainties caused by unexpected factors during the acquiring process.If only measuring the degree of uncertainty but ignoring the spatial-temporal distribution features,it is not easy to describe accurately and completely the uncertainty in remote sensing information.Representing uncertainty information from the point of view of visual sensation is one of the important sections of modeling uncertainty.The uncertainty visualizing techniques will help users to explore uncertainty in raw data and size,distribution,special structure and tendency of uncertainty.Using existing computer visualization technologies to express uncertainties is an intuitive and effective way.In this paper,these visualization techniques include three types of visualization: static visualization,dynamic visualization and feature visualization.Based on the Landsat-5 TM remote sensing image covering the Chinese Yellow River delta area and its classified data,we investigated several techniques discussed above.
【Fund】: 国家自然科学基金项目(40671136);; 中科院前沿创新研究项目(V36400);; 遥感国家重点实验室开放基金(LRSS0610)
【CateGory Index】: TP70
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【References】
Chinese Journal Full-text Database 2 Hits
1 LIAO Shunbao1,ZHANG Sai1,2(1 Institute of Geographical Sciences and Natural Resources Research,CAS,Beijing 100101,China;2 Graduate school of Chinese Academy of Sciences,Beijing 100049,China);Study on Error Evaluating Index for Spatialisation of Attribute Data[J];Journal of Geo-Information Science;2009-02
2 ZHOU Di-min1, LIN Yi-qin2 (1. Modern Education Technology Center, Hunan University of Science and Engineering, Yongzhou 425100; 2. Dept. of Mathematics, Hunan University of Science and Engineering, Yongzhou 425100);Study on Attribute Data Uncertainty in GIS and Its Propagation[J];Computer Engineering;2010-06
【Citations】
Chinese Journal Full-text Database 4 Hits
1 BO Yan-chen~(1),WANG Jin-feng~2(1.Research Center for Remote Sensing and GIS,School of Geography,Beijing Normal University,State Key Laboratory of Remote Sensing Science,Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities,Beijing 100875,China;2.Institute of Geographical Science and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China);ASSESSMENT ON UNCERTAINTY IN REMOTELY SENSED DATA CLASSIFICATION: PROGRESSES, PROBLEMS AND PROSPECTS[J];Advance in Earth Sciences;2005-11
2 LI San-ping~(1,2),GE Yong~1,LI De-yu~2(1.State Key Laboratory of Resources and Environmental Information Systems,Institute of Geographical Sciences and Natural Resources Research,CAS,Beijing 100101,China;2.School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China);VISUALIZING PRESENTATION OF THE ATTRIBUTE UNCERTAINTY IN CLASSIFIED REMOTELY SENSED IMAGERY[J];Remote Sensing for Land & Resources;2006-02
3 GE Yong 1,3 ,WANG Jin feng 1,Yee Leung 2, MA Jiang hong 4 (1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;2 The Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong;3 Laboratory of Remote Sensing Information Sciences, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;4 Institute for Information and System Science, Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China);Study on the Uncertainty of Remote Sensing Information[J];Journal of Remote Sensing;2004-04
4 Cao Xuchen; Zhao Ying ;Fang Zhiyi et al(Department of Breast, Tianjin Cancer Hospital, Tianjin Medical Univereity, Tianjin);Study on Computerized Image Processing on Mammography forEarly Diagnosis of Breast Cancer[J];CHINESE JOURNAL OF CLINICAL ONCOLOGY;1999-04
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 Qu Yonghua Wang Jindi (School of Geography and Remote Sensing Science,State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences;Beijing Key Laboratory of Enviromental Remote Sensing and City Digitalization,Beijing Normal University: 100875,Beijing,China);INVESTIGATION ON UNCERTAINTY KNOWLEDGE PROCESSING METHOD IN RETRIEVING LAND SURFACE PARAMETERS USING REMOTELY SENSED DATA[J];Journal of Beijing Normal University(Natural Science);2007-03
2 NIU Ji-qiang ①②③,XU Feng③(①School of Resource and Environmental Science,Wuhan University,Wuhan 430079,China;②Key laboratory of geographic information,Ministry of Education,Wuhan University,Wuhan 430079,China;③Department of Urban and Environmental Science,Xinyang Normal University,Xinyang 464000,China);General analysis and estimate research on uncertainty of multi-scale representation of linear feature[J];Science of Surveying and Mapping;2007-06
3 Zhang Jingxiong, Du Daosheng (National Laboratory for Information Engineering in Suvevying, Mapping and Remote Sensing, Wuhan Technical University of Surveying and Mapping,Wuhan,Hubei,430079);Field based Models for Positional and Attribute Uncertainty[J];ACTA GEODAETICA ET CARTOGRAPHIC SINICA;1999-03
4 TANG Guo an 1, GONG Jian ya 2, CHEN Zheng jiang 1, CHENG Yan hui 1, WANG Zhan hong 1 (1. Department of Geography,Northwest University, Xi'an 710069,China; 2. National Laboratory for Information Engineering in Survey, Mapping and Remote Sensing;A Simulation on the Accuracy of DEM Terrain Representation[J];Acta Geodaetica Et Cartographic Sinica;2001-04
5 LIU Chun1,2, SHI Wenzhong1, LIU Dajie2(1. The Department of Land Surveying and GeoInformatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China; 2. The Department of Surveying and Geoinformatics, Tongji University 200092,China);Statistical Model of Rate of Disfigurement for Attribute Data Accuracy Assessment in GIS[J];Acta Geodaetica Et Cartographic Sinica;2003-01
6 LIU Yan-fang1,2,3,LAN Ze-ying1,2,LIU Yang1,2,TANG Xiang-yun11.School of Resources and Environment Science,Wuhan University,Wuhan 430079,China;2.Key Laboratory of Geographic Information System,Ministry of Education,Wuhan University,Wuhan 430079,China;3.State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;4.Guangzhou Urban Planning and Design Survey Research Institute;Multi-scale Evaluation Method for Uncertainty of Remote Sensing Classification Based on Hybrid Entropy Model[J];Acta Geodaetica et Cartographica Sinica;2009-01
7 QIAN Jian-ping1,2,ZHOU Yong1,YANG Xin-ting2 (1.College of Urban and Environment Science,Huazhong Normal University,Wuhan 430079,China;2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100089,China);CONFIRMATION OF URBAN FRINGE AREA BASED ON REMOTE SENSING AND MESSAGE ENTROPY——A CASE STUDY OF JINGZHOU,HUBEI PROVINCE[J];Resources and Environment in the Yangtze Basin;2007-04
8 NIU Zhi-hong,LI Tai-xing(Changjiang Engineering Vocational College,Chibi 437302,China);Comprehensive Review on Error Analysis and Accuracy Appraisal of DEM[J];Journal of Changjiang Engineering Vocational College;2007-03
9 LAN Zeying LIU Yanfang TANG Xiangyun LIU YangSchool of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China;Key Laboratory of GeographicInformation System, Ministry of Education, Wuhan University, 129 Luoyu Road Wuhan 430079, China.;Description and Evaluation Approach for Uncertainty of RS Images Classification[J];地球空间信息科学学报(英文版);2009-01
10 ZHANG Jingxiong ZHANG Jinping YAO Na, School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China.;Uncertainty Characterization in Remotely Sensed Land Cover Information[J];地球空间信息科学学报(英文版);2009-03
【Secondary References】
Chinese Journal Full-text Database 3 Hits
1 CHEN Jiangping,HUANG Bingjian(School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China);Application and Effects of Data Spatial Autocorrelation on Association Rule Mining[J];Journal of Geo-Information Science;2011-01
2 YAN Qing-wu1,2,BIAN Zheng-fu1,ZHANG Ping2,WANG Hong1(1.Jiangsu Key Laboratory of Resources and Environmental Information Engineering(China University of Mining & Technology),Xuzhou 221008; 2.College of Urban and Environmental Science,Xuzhou Normal University,Xuzhou 221116,China);Census Spatialization Based on Settlements Density[J];Geography and Geo-Information Science;2011-05
3 ZHOU Di-min,DUAN Guo-yun ( Modern Education Technology Center,Hunan University of Science & Engineering,Yongzhou Hunan 425100,China);Research on application of evidence theory in uncertainty reasoning[J];Application Research of Computers;2010-12
【Secondary Citations】
Chinese Journal Full-text Database 4 Hits
1 Zhang Jingxiong, Du Daosheng (National Laboratory for Information Engineering in Suvevying, Mapping and Remote Sensing, Wuhan Technical University of Surveying and Mapping,Wuhan,Hubei,430079);Field based Models for Positional and Attribute Uncertainty[J];ACTA GEODAETICA ET CARTOGRAPHIC SINICA;1999-03
2 LI San-ping~(1,2),GE Yong~2,LI De-yu~1,WANG Jin-feng~2(1.School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China;2.State Key Laboratory of Resources and Environmental Information Systems,Instituteof Geographical Sciences and Natural Resources Research,CAS,Beijing 100101,China);Measurement of the Uncertainty in Remote Sensing Information[J];Journal of Shanxi University(Natural Science Edition);2006-01
3 GE Yong 1,WANG Jin-feng 1,LIANG Yee2,WANG Zhen-song3 (1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing 100101,China; 2 The Chinese University of Hong Kong, Shatian, New Territories, Hong Kong; 3 Institute of Electron, CAS, Beijing 100080, China);Study on the Relationship of Phase Uncertainties, Position Uncertainties and Gray Uncertainties and the Pixel Uncertainty of SAR Original Image[J];Journal of Remote Sensing;2003-04
4 GE Yong 1,3 ,WANG Jin feng 1,Yee Leung 2, MA Jiang hong 4 (1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;2 The Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong;3 Laboratory of Remote Sensing Information Sciences, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;4 Institute for Information and System Science, Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China);Study on the Uncertainty of Remote Sensing Information[J];Journal of Remote Sensing;2004-04
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved