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A novel method of systematic error compensation for a position and orientation system

Progress in Natural Science:Materials International 2008年第8期18卷 953-963页

作者： Xiuxiao Yuan* school of remote {2. and information engineering, wuhan university, wuhan 430079, China school of remote {2. and information engineering Wuhan University Wuhan 430079 China

A novel method is introduced for self-calibration and elimination of systematic errors for a position and orientation system (POS). The method uses a combined bundle block adjustment with POS data (named the POS-supported bundle block adjustment) without a calibration field. On the basis of delivering strict observation equations for POS data, the specific scheme of compensating the translation and drift systematic errors in a POS is given, and a prototype system WuCAPS is developed. The effects of eliminating POS systematic errors using the POS-supported bundle block adjustment for different ground control conditions are tested using two sets of actual aerial photos. The first set was taken over a flat region in the suburbs of the city of Yingkou in China and tested at a scale of 1:2.00. The second set was taken over a high mountainous region in the desert region of Xinjiang in China and tested at a scale of 1:32.000. The empirical results verified that the POS systematic errors can be completely eliminated and the photo elements of exterior orientation obtained by the POS-supported bundle block adjustment can satisfy the requirements of aerial photogrammetric topographic mapping when four full ground control points (GCPs) are emplaced in the corners of the adjustment block for large-scale images of flat regions, but only one full GCP emplaced in the center of the adjustment block is needed for medium-small scale images of mountainous regions. This not only demonstrates the validity of the established mathematical model and the feasibility of the method proposed in this paper, but also avoids the use of a special calibration field. Therefore, it can simplify the existing POS operation rules and dramatically save on practical application costs, laying the theoretical foundation for widespread use of POS.

关键词： Position and orientation system (POS) Systematic error POS-supported bundle block adjustment Self-calibration Accuracy

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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 {2. sensing,wuhan university,wuhan 430079,China 2.school of remote sensing and information engineering,wuhan university,wuhan 430079,China 1. State Key Laboratory 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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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 {2. and information engineering, wuhan university, wuhan 430079, China b State Key Laboratory of information engineering in Surveying, Mapping and remote {2., wuhan university, wuhan 430079, China school of remote {2. 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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A hybrid matching method for geospatial services in a composition-oriented environment

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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,{2. 430072.China 2.State Key Laboratory of information engineering in Surveying,Mapping and remote sensing,wuhan university,wuhan 430079,China 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 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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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 {2. sensing,wuhan university,wuhan 430079,China 2.State Key Laboratory of {2. sensing Science,Beijing,China 1. State Key Laboratory 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 Laboratory for information engineering in Surveying,Mapping and {2. sensing,wuhan university,wuhan 430079,China 1. State Key Laboratory 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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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 Laboratory of information engineering in Surveying,Mapping and {2. 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 & Mapping 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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Land use data generalization indices considering scale and land use pattern effects

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Science China Earth Sciences 2011年第5期54卷 694-702页

作者： LIU YaoLin1,2.JIAO LiMin1,2.& LIU YanFang1,2.1 school of Resource and Environmental Sciences,wuhan university,{2.,China 2.Key Laboratory of Geographic information System,Ministry of Education,wuhan university,{2.,China 1. school of Resource and Environmental Sciences Wuhan University Wuhan 430079 China2. Key Laboratory of Geographic Information System Ministry of Education Wuhan University Wuhan 430079 China

Land use generalization indices are critical for producing normative multi-scale land use databases and maps,but there is still not a national criterion for these indices in *** studies on land use data generalization indices often neglect macroindices such as area proportion of land use types and map load,and also ignore landscape effects on land use generalization *** we constructed an index system of land use data generalization from macro-and micro-perspectives,and examined scale and landscape effects on land use data generalization indices based on the countrywide multi-scale land use data *** formulated relationships between land use data generalization indices and both scale and land use pattern *** defined thresholds of land use data generalization indices on scales of 1:50000,1:100000,1:2.0000,and 1:*** verified our methodology and index thresholds through generalizing a county land use database.

关键词： land use database land use database generalization generalization indices land use pattern landscape metrics

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A numerical study on nonlinear propagation and short-term variability of the migrating diurnal and semidiurnal tides

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Chinese Science Bulletin 2005年第17期50卷 1940-1948页

作者： HUANG Chunming1,2. ZHANG Shaodong1,2.& YI Fan1,2.1. school of Electronic information, {2. Universiy, wuhan 430079, China 2. Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, wuhan university, wuhan 430079, China school of Electronic information Wuhan University Wuhan 430079 China Key Laboratory of Geospace Environment and Geodesy Ministry of Education Wuhan University Wuhan 430079 China

By using a three-dimensional fully nonlinear numerical model in spherical coordinates and taking the linear steady solutions of the migrating diurnal and semidi-urnal tides in January from the Global-Scale Wave Model (GSWM) as the initial values, we simulate the linear and nonlinear propagations of the migrating diurnal and semidi-urnal tides in the atmosphere from the ground to the lower thermosphere. A comparison of our simulations with the results of GSWM is also presented. The simulation results show that affected by the nonlinearity, the migrating diurnal and semidiurnal tides propagating in the middle and upper atmosphere exhibit evident short-term variability. The nonlinear interactions between the migrating tides and the background atmosphere can obviously alter the background wind and temperature fields, which suggests that the nonlin-ear propagations of the migrating diurnal and semidiurnal tides impact significantly on the transient dynamical and thermal structures of the background middle and upper at-mosphere and the nonlinear effect is an important cause of the difference between the results of GSWM and observa-tions.

关键词：大气非线性传播数学模型可变性温度场

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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 {2. sensing (LIESMARS),wuhan university,wuhan 430079,China 1. State Key Laboratory 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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