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A hybrid matching method for geospatial services in a composition-oriented environment

Science china(Technological Sciences) 2010年第S1期53卷 213-220页

作者： LUO An 1,2,WANG YanDong 1,2 & CHEN ShengHua 2 1 state key laboratory of Software engineering,wuhan university,wuhan 430072,china 2 state key laboratory of information engineering in surveying,mapping and remote sensing,wuhan university,wuhan 43.079,china state key laboratory of Software engineering Wuhan University Wuhan China state key laboratory of information engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan China

With the development of Internet and GIS,large volumes of spatial data,powerful computing resources and many spatial data processing functions are published in the form of Web *** suitable geospatial services in the composition-oriented environment is a crucial *** semantic Web provides a kind of technology to find and compose various service resources automatically through the *** paper proposes a hybrid method for the semantic matching of geospatial *** method includes two *** 1 puts forward a multi-level semantic matching approach,which matches single geospatial service at four levels:classification,input/output,precondition/effect and the quality of service(QoS).This multi-level matching approach makes single service matching quicker and more *** 2 puts forward a matching algorithm for a geospatial service chain based on the *** algorithm adopts a trace algorithm,taking account of the effect of the *** restricts the input/output parameters of the current service by the input/output parameters of service chain,pre-service and *** matches the atomic service dynamically in a composition-oriented environment,and accurately converts the abstract model of geospatial services into an executable geospatial service chain.A case study of the flood analysis for the Poyang Lake illustrates the effectiveness of our context-based matching method for geospatial services.

关键词： geospatial services semantic context composition service match

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Image City sharing platform and its typical applications

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Science china(information Sciences) 2011年第8期54卷 1738-1746页

作者： SHAO ZhenFeng & Li DeRen state key laboratory for information engineering in surveying,mapping and remote sensing,wuhan university,wuhan 43.079,china state key laboratory for information engineering in surveying Mapping and Remote Sensing Wuhan University

In this paper,the trend of urban spatial information sharing service from the electronic map to image is analyzed and its sharing framework based on service-oriented architecture is ***,the service implementation,feedback data service procedure and its processing service model are explored. Based on the software with independent intellectual property rights,image city of Taizhou is developed as an example to realize various image data and processing servicesLastly,the bright future prospects of image city are described.

关键词： Image City service-oriented architecture image data service function service model service

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Multi-resolution representation of digital terrain models with terrain features preservation

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Science china(Technological Sciences) 2008年第S1期51卷 145-154页

作者： LI QingQuan1,WANG Zhi1,2 & YANG BiSheng1 1 state key laboratory of information engineering in surveying,mapping and remote sensing,wuhan university,wuhan 43.079,china 2 School of remote sensing and information engineering,wuhan university,wuhan 43.079,china state key laboratory of information engineering in surveying Mapping and Remote Sensing School of remote sensing and information engineering Wuhan University

multi-resolution TIN model is an important issue in the contexts of visu-alization,virtual reality (VR),and geographic information systems (GIS). This paper proposes a new method for constructing multi-resolution TIN models with multi-scale topographic features preservation. The proposed method is driven by a half-edge collapse operation in a greedy framework and employs a new quadric error metric to efficiently measure geometric errors. We define topographic features in a multi-scale manner using a center-surround operator on Gaussian-weighted mean curvatures. Experimental results demonstrate that the proposed method performs better than previous methods in terms of topographic features preservation,and is able to achieve multi-resolution TIN models with a higher accuracy.

关键词： digital terrain models level of detail differential-geometry quadric error metrics topographic feature

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Fuzzy entropy image segmentation based on particle swarm optimization

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Progress in Natural Science:Materials International 2008年第9期18卷 1167-1171页

作者： Linyi Li a, Deren Li b, a School of remote sensing and information engineering, wuhan university, wuhan 43.079, china b state key laboratory of information engineering in surveying, mapping and remote sensing, wuhan university, wuhan 43.079, china School of remote sensing and information engineering Wuhan University Wuhan 430079 China state key laboratory of information engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China

Particle swarm optimization is a stochastic global optimization algorithm that is based on swarm *** of its excellent performance, particle swarm optimization is introduced into fuzzy entropy image segmentation to select the optimal fuzzy parameter combination and fuzzy threshold *** this study, the particles in the swarm are constructed and the swarm search strategy is proposed to meet the needs of the segmentation *** fuzzy entropy image segmentation based on particle swarm opti-mization is implemented and the proposed method obtains satisfactory results in the segmentation *** with the exhaustive search method, particle swarm optimization can give the same optimal fuzzy parameter combination and fuzzy threshold while needing less search time in the segmentation experiments and also has good search stability in the repeated ***, fuzzy entropy image segmentation based on particle swarm optimization is an eficient and promising segmentation method.

关键词： Image segmentation Fuzzy entropy Particle swarm optimization Fuzzy parameter combinations Fuzzy threshold

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Multi-source geospatial information integration and sharing in Virtual Globes

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Science china(Technological Sciences) 2010年第S1期53卷 1-6页

作者： GONG JianYa,XIANG LongGang,CHEN Jing & YUE Peng state key laboratory of information engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430072,china state key laboratory of information engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan China

Massive volumes of global geospatial information are being collected by newly designed acquisition devices and generated by various geospatial *** poses a critical challenge to efficiently organize and effectively integrate global multi-source geospatial *** paper introduces a global seamless data model for the organization of huge multi-source,multi-resolution and multi-temporal geospatial *** on this data model,the management of the global multi-resolution pyramid is discussed in *** integrate geospatial data and processing functions from various GIS systems,a service-oriented framework is presented through the technology of Virtual ***,a Virtual Globe system,GeoGlobe,is developed and illustrated.

关键词： Virtual Globe geospatial information multi-resolution pyramid Web service GeoGlobe

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Semi-Supervised Classification based on Gaussian Mixture Model for remote imagery

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Science china(Technological Sciences) 2010年第S1期53卷 85-90页

作者： XIONG Biao1,ZHANG XiaoJun1 & JIANG WanShou1,2 1 state key laboratory of information engineering in surveying,mapping and remote sensing,wuhan university,wuhan 43.079,china 2 state key laboratory of remote sensing Science,Beijing,china state key laboratory of information engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan China state key laboratory of remote sensing Science Beijing China

Semi-Supervised Classification (SSC),which makes use of both labeled and unlabeled data to determine classification borders in feature space,has great advantages in extracting classification information from mass *** this paper,a novel SSC method based on Gaussian Mixture Model (GMM) is proposed,in which each class’s feature space is described by one *** show the proposed method can achieve high classification accuracy with small amount of labeled ***,for the same accuracy,supervised classification methods such as Support Vector Machine,Object Oriented Classification,*** be provided with much more labeled data.

关键词： remote sensing image classification Semi-Supervised Classification Gaussian Mixture Model EM algorithms

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Analysis-enhanced virtual globe for digital earth

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中国科学：技术科学英文版 2010年第S1期53卷 61-67页

作者： YUE Peng,GONG JianYa,XIANG LongGang & CHEN Jing state key laboratory of information engineering in surveying,mapping and remote sensing (LIESMARS),wuhan university,wuhan 43.079,china state key laboratory of information engineering in surveying Mapping and Remote Sensing (LIESMARS) Wuhan University Wuhan China

Virtual globe has been recognized as an appealing technology to support the digital *** provides an intuitive and appealing way to visualize geospatial information,and is being used frequently to bring the globe-scale geospatial information to our *** easy access to virtual globes such as Google Earth,Microsoft Virtual Earth,and NASA World Wind allows both the general public users and professionals to use them for educational and research *** virtual globes provide a number of functions for geospatial data visualization and annotation,the geospatial analysis functions available in the current virtual globes are *** paper addresses an approach to the establishment of an analysis-enhanced virtual *** approach is based on the integration of virtual globe and interoperable geoprocessing *** an analysis-enhanced virtual globe combines the visualization and communication power of virtual globes with the conventional powerful analysis functions of GIS,thus meeting the analysis demands in digital earth.

关键词： virtual globe digital earth geoprocessing service GIS GeoGlobe GeoPW

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Object-level change detection based on full-scale image segmentation and its application to Wenchuan Earthquake

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Science china(Technological Sciences) 2008年第S2期51卷 110-122页

作者： GONG JianYa,SUI HaiGang,SUN KaiMin,MA GuoRui & LIU JunYi state key laboratory of information engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430072,china state key laboratory of information engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan China

Aiming at object fragmentation and poor detection results caused by discontinuous segmentation scale in object-level change detection,a new object-level change detection method based on the full-scale object tree is presented in this *** core idea of this new algorithm is to establish the full-scale object tree based on convexity model theory and integrate full-scale image segmentation techniques and change detection into the whole *** Wenchuan Earthquake images are taken as an example to discuss the new method for earthquake damage detection and evaluation in urban area,landslide detection,and extraction of barrier lake *** application shows that the new method is robust and it provides an advanced tool for the quantitative detection and evaluation of earthquake damage.

关键词： change detection convexity model image segmentation full-scale object tree Wenchuan Earthquake

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OpenRS-Cloud:A remote sensing image processing platform based on cloud computing environment

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Science china(Technological Sciences) 2010年第S1期53卷 221-230页

作者： GUO Wei,GONG JianYa,JIANG WanShou,LIU Yi & SHE Bing state key laboratory for information engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430074,china state key laboratory for information engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan China

This paper explores the use of cloud computing for remote sensing image *** main contribution of our work is to develop a remote sensing image processing platform based on cloud computing technology(OpenRS-Cloud).This paper focuses on enabling methodical investigations into the development pattern,computational model,data management and service model exploring this novel distributed computing *** experimental INSAR processing flow is implemented to verify the efficiency and feasibility of OpenRS-Cloud *** results show that cloud computing is well suited for computationally-intensive and data-intensive remote sensing services.

关键词： remote sensing cloud computing MapReduce parallel computing web service

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Optimization Research of Urban Space Configuration Based on Space Syntax

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Chinese Journal of Population,Resources and Environment 2005年第4期3卷 47-52页

作者： Zhu Qing & Wang Jingwen state key laboratory of information engineering in surveying mapping and remote sensing, wuhan university, wuhan 430072, china state key laboratory of information engineering in surveying mapping and remote sensing Wuhan University Wuhan 430072 China

In this paper, a new method based on the space syntax is presented to optimize the urban space configuration. Space syntax theory is used to detect systematically whether one urban space configuration is optimal or not from four aspects including traffic space, cognition space, land use space and culture space. After introducing the computational and cognitive aspects of space syntax for the research of urban space, a framework of urban space optimization based on space syntax is proposed, then the integration with GIS and the extension to third dimension are discussed. Finally, a case study for Kanmen town of Zhejiang province of *** is illustrated by using Axwoman tool.

关键词： space syntax urban space optimizatoine GIS

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