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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 {2. of Software Engineering,wuhan university,wuhan 430072.china 2.state key {2. of information Engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430079,china 1. state key {2. of Software Engineering Wuhan University Wuhan 430072 China 2. state key {2. of information Engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 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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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 {2. of information Engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430079,china 2.School of remote sensing and information Engineering,wuhan university,wuhan 430079,china 1. state key {2. of information Engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China2. School of Remote Sensing and Information Engineering Wuhan University Wuhan 430079 China

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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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 {2. of information Engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430079,china 2.state key {2. of {12. sensing Science,Beijing,china 1. state key {2. of information Engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China2. 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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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 {2. for information Engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430079,china 1. state key {2. for information Engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China

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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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 {2. Engineering, wuhan university, wuhan 430079, china b state key laboratory of {2. Engineering in surveying, mapping and remote sensing, wuhan university, wuhan 430079, china School of remote sensing and {2. Engineering Wuhan University Wuhan 430079 China state key {2. 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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A new approach toward object-based change detection

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Science china(Technological Sciences) 2010年第S1期53卷 105-110页

作者： ZHANG Guo1,2.LI Yang1 & LI ZhiJiang3 1 state key {2. of information Engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430079,china 2.Satellite of surveying and mapping Application center,state Bureau of surveying and mapping,Beijing 100830,china 3 School of Printing and Packaging,wuhan university,wuhan 430079,china wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China state Bur surveying & {2. Satellite Surveying & Mapping Applicat Ctr Beijing 100830 Peoples R China wuhan Univ Sch Printing & Packaging Wuhan 430079 Peoples R China

Object-based change detection has been the hotspot in remote sensing image processing.A new approach toward object-based change detection is *** two different temporal images are unitedly segmented using the mean shift procedure to obtain corresponding *** change detection is implemented based on the integration of corresponding objects’ intensity and texture *** are conducted on both panchromatic images and multispectral images and the results show that the integrated measure is robust with respect to illumination changes and *** color detection is conducted to determine whether the color of the unchanged objects changes or not when dealing with multispectral *** verification work is carried out to show the accuracy of the proposed approach.

关键词： mean shift united segmentation change detection object-based intensity texture integration

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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 {2. of information Engineering in surveying,mapping and remote sensing (LIESMARS),wuhan university,wuhan 430079,china 1. state key {2. of information Engineering in surveying Mapping and Remote Sensing (LIESMARS) Wuhan University Wuhan 430079 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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A new relative radiometric consistency processing method for change detection based on wavelet transform and a low-pass filter

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Science china(Technological Sciences) 2010年第S1期53卷 7-14页

作者： SUN KaiMin1,SUI HaiGang1,2.LI DeRen1 & XU Chuan1,2.1 state key {2. of information Engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430079,china 2.state key {2. of Subtropical Building Science,South china university of Technology,Guangzhou 510640,china 1. state key {2. of information Engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China 2. state key {2. of Subtropical Building Science South China University of Technology Guangzhou 510640 China

The research purpose of this paper is to show the limitations of the existing radiometric normalization approaches and their disadvantages in change detection of artificial objects by comparing the existing approaches,on the basis of which a preprocessing approach to radiometric consistency,based on wavelet transform and a spatial low-pass filter,has been *** approach first separates the high frequency information and low frequency information by wavelet ***,the processing of relative radiometric consistency based on a low-pass filter is conducted on the low frequency *** processing,an inverse wavelet transform is conducted to obtain the results *** experimental results show that this approach can substantially reduce the influence on change detection of linear or nonlinear radiometric differences in multi-temporal images.

关键词： wavelet transform radiometric normalization low-pass filter change detection

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A multi-scale and multi-orientation image retrieval method based on rotation-invariant texture features

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Science china(information Sciences) 2011年第4期54卷 732-744页

作者： SHAO ZhenFeng,LI DeRen & ZHU XianQiang state key {2. for information Engineering in surveying,mapping and remote sensing,wuhan university,12. Luoyu Road,wuhan 430079,china 1. state key {2. for information Engineering in surveying Mapping and Remote Sensing Wuhan University 129 Luoyu Road Wuhan 430079 China

Texture retrieval is a vital branch of content-based image ***-invariant texture retrieval plays a key role in texture *** paper addresses three major issues in rotation-invariant texture retrieval: how to select the texture measurement methods,how to alleviate the influence of rotation for texture retrieval and how to apply the proper multi-scale analysis theory for texture ***,the spectrum influence between a Radon transform and a Log-polar transform was compared after the rotation effect was *** average retrieval performance of wavelet and NSCT with different retrieval parameters was also *** on such analysis,we developed a multi-scale and multi-orientation texture transform spectrum,as well as a rotation-invariant feature vector and its measurement criteria,which can represent the human visual perception sensitive to texture *** a new rotation-invariant texture retrieval algorithm was *** algorithm was developed based on non-parametric statistical features and it applies low band and high frequency directional bands of NSCT coefficients for coarse filtering and fine retrieval,*** on the Brodatz image database show that the constructed rotation-invariant feature vector is appropriate for capturing major orientations and describing detail ***,the combination of the two-step progressive retrieval strategy and multi-scale analysis method can effectively improve retrieval efficiency while ensuring a high precision compared with traditional algorithms.

关键词： NSCT Log-polar Radon rotation-invariant texture retrieval

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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 {2. of information Engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430072.china wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430072 Peoples R 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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