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Fuzzy topological relations between fuzzy spatial objects 被引量:2
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作者 唐新明 wolfgang kainz 《测绘科学》 CSCD 北大核心 2006年第S1期64-68,共5页
Fuzziness is an internal property of spatial objects.How to model fuzziness of a spatial object is a main task of next generation GIS.This paper proposes basic fuzzy spatial object types based on fuzzy topology.These ... Fuzziness is an internal property of spatial objects.How to model fuzziness of a spatial object is a main task of next generation GIS.This paper proposes basic fuzzy spatial object types based on fuzzy topology.These object types are the natural extension of current nonfuzzy spatial object types.A fuzzy cell complex structure is defined for modeling fuzzy regions,lines and points.Furthermore,fuzzy topological relations between these fuzzy spatial objects are formalized based on the 9intersection approach.This model can be implemented for GIS applications due to its scientific theory basis. 展开更多
关键词 GIS FUZZY TOPOLOGICAL RELATIONS FUZZY SPATIAL OBJECTS
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模糊区域拓扑关系模型 被引量:8
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作者 唐新明 方裕 wolfgang kainz 《地理与地理信息科学》 CSSCI CSCD 北大核心 2003年第2期1-10,共10页
拓扑关系是地理信息系统中空间要素之间最基本也是最重要的关系之一,是进行绝大多数空间查询和分析的基础。非模糊空间要素之间的拓扑关系在一般拓扑学等理论的基础上已有相关的模型和描述,并在实践中得到广泛的应用,如何建立模糊空间... 拓扑关系是地理信息系统中空间要素之间最基本也是最重要的关系之一,是进行绝大多数空间查询和分析的基础。非模糊空间要素之间的拓扑关系在一般拓扑学等理论的基础上已有相关的模型和描述,并在实践中得到广泛的应用,如何建立模糊空间要素之间的拓扑关系是建立模糊要素地理信息系统的基础。该文在模糊拓扑学的基础上提出了模糊区域的定义,建立了用于分析模糊区域之间拓扑关系的理论和模型,提出了4 4-intersection拓扑关系矩阵,并分析了不同拓扑关系矩阵对于非模糊区域之间、模糊区域之间建立拓扑关系的区别和联系,最后采用不同公式对模糊区域之间的关系进行了系统的描述。 展开更多
关键词 模糊拓扑空间 模糊区域 模糊拓扑关系 9-intersection模型 4*4-intersection模型
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Cartography and the others-aspects of a complicated relationship 被引量:8
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作者 wolfgang kainz 《Geo-Spatial Information Science》 SCIE CSCD 2020年第1期52-60,共9页
Cartographic visualizations have been known for thousands of years and have brought forth a wealth of different map projections and cartographic products.Yet,cartography as an independent science has been established ... Cartographic visualizations have been known for thousands of years and have brought forth a wealth of different map projections and cartographic products.Yet,cartography as an independent science has been established only about 100 years ago and sometimes its position among the spatial disciplines is challenged by the scientific community.In this respect it is a young science based on a very long tradition of map making,globe production,and the development of map projections.Maps and map related visualizations play an important and indispensable role in many other spatial disciplines such as geography and geodesy.Cartography has many overlaps with these traditional disciplines as well as with the more recent ones of photogrammetry and remote sensing.This paper reviews fundamental aspects of the conception of space and time throughout human history,the historic development of cartography from a technique of map making to a spatial science,highlighting major milestones in the history of the discipline.As a young science and confronted with major technological developments in the late 20^(th)century cartography underwent several crises as to what exactly is cartography and how it relates to other spatial sciences,in particular to geographic information systems.Major pitfalls and misconceptions are discussed and the three major scientific pillars of cartography are identified.The relationships of cartography with neighboring disciplines are discussed and the position of cartography vis a vis the others is delineated.Finally,desirable future developments of scientific cartography are discussed. 展开更多
关键词 CARTOGRAPHY GIS GEODESY PHOTOGRAMMETRY remote sensing
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The Austrian node of the natural resources satellite remote sensing cloud service platform:examples of Sino-Austrian cooperation 被引量:1
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作者 wolfgang kainz Xinming Tang Yucai Xue 《Geo-Spatial Information Science》 SCIE CSCD 2021年第1期145-151,I0015,共8页
The Austrian node of the Natural Resources Satellite Remote Sensing Cloud Service Platform was established in 2016 through a cooperation agreement between the Land Satellite Remote Sensing Application Center(LASAC),Mi... The Austrian node of the Natural Resources Satellite Remote Sensing Cloud Service Platform was established in 2016 through a cooperation agreement between the Land Satellite Remote Sensing Application Center(LASAC),Ministry of Natural Resources of the Peoples Republic of China and the University of Vienna,Austria.Under this agreement panchromatic and multi-spectral data of the Chinese ZY-3 satellite are pushed to the server at the University of Vienna for use in education and research.So far,nearly 500 GB of data have been uploaded to the server.This technical note briefly introduces the ZY-3 system and illustrates the implementation of the agreement by the first China-Sat Workshop and several case studies.Some of them are already completed,others are still ongoing.They include a geometric accuracy validation of ZY-3 data,an animated visualization of image quick views on a spherical display to demonstrate the time series of the image coverage for Austria and Laos,and the use of ZY-3 data to study the spread of bark beetle in the province of Lower Austria.An accuracy study of DTMs from ZY-3 stereo data,as well as a land cover analysis and comparison of Austria with ZY-3 and other sensors are still ongoing. 展开更多
关键词 Remote sensing geographic information systems ZY-3 satellite hyperglobe Land Satellite Remote Sensing Application Center(LASAC)
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Advances in spatio-temporal analysis:an introduction
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作者 wolfgang kainz 《测绘科学》 CSCD 北大核心 2008年第S2期70-74,92,共6页
This paper serves as a brief introduction to this book,which includes 21 peer-reviewed papers selected fromthe joint worksho Pof ISPRS WGⅡ/1,2,7 and WGⅦ/6 on spatial-temporal modelling,spatial reasoning,analysis,dat... This paper serves as a brief introduction to this book,which includes 21 peer-reviewed papers selected fromthe joint worksho Pof ISPRS WGⅡ/1,2,7 and WGⅦ/6 on spatial-temporal modelling,spatial reasoning,analysis,datamining and data fusion(STM 05),held from 27 to 29 August 2005 at Peking University,China.The background to thisworksho Pis presented and the developments in spatial modelling,spatio-temporal modelling,spatio-temporal analysis,andspatial reasoning and data mining are briefly reviewed and the contents of the book are introduced. 展开更多
关键词 测绘科学 专刊
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