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Positioning localities from spatial assertions based on Voronoi neighboring

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Science china(Technological sciences) 2010年第S1期53卷 143-149页

作者： GONG YongXi 1,2.3,LI GuiCai 1,LIU Yu 2.& YANG Jian 1 1 Shenzhen key Lab of Recycling Economy,Peking University Shenzhen Graduate School,Shenzhen 518055,china 2.2. of remote sensing and Geographical Information Systems,Peking University,beijing 100871,china 3College of Urban and Environmental Science,Peking University,beijing 100871,china Shenzhen key Lab of Recycling Economy Peking University Shenzhen Graduate School Shenzhen China institute of remote {2. and Geographical Information Systems Peking University Beijing China College of Urban and Environmental Science Peking University Beijing China

With the rapid development of Internet,much spatial information contained in non-structured or semi-structured documents is available on the World Wide *** such documents,localities are always textually described using spatial relationships and named places,instead of numerical ***,extracting positional information from locality descriptions is an important *** this paper,we bridge two aspects of locality descriptions,namely generating locality descriptions and positioning localities,and provide a method to compute probability density according to the selection probability of a reference object to describe the position of the target *** operation on uncertainty field is used to deal with locality description involving multiple reference *** metrics are introduced to measure the results of positioning *** choose the mixed selection probability function based on Euclidean distance and Voronoi stolen-area to compute probability density ***,we use three cases to demonstrate the proposed methods.

关键词： geographic information science positioning locality Voronoi neighboring probability density function

Architecture and key technologies of grid geographic information system

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Science china(Technological sciences) 2008年第S1期51卷 102-113页

作者： FANG Yu,HUANG Zhou,CHEN Bin,WU Lun & YIN DaFei institute of remote {2. and Geographic Information System,Peking University,beijing 100871,china institute of remote {2. and Geographic Information System Peking University Beijing China

The highly efficient and stable collaborative computation platform for geospatial information can be constructed on the basis of Grid computing technology,com-bined with Peer-to-Peer (P2.) computing technology and geospatial database technology. This paper proposed the architecture and key technologies of the Grid GIS (Geographic Information System) incorporated with P2. structure,and corre-spondingly a Grid GIS prototype named Nebula was designed and then imple-mented. Nebula is a suite of middleware for geospatial Grid computing,which could be deployed onto various service nodes in network. Based on Grid protocols and infrastructure,Nebula provides invocation interfaces to users in form of Grid services. By using P2. message based communication mechanism,complex geospatial computation tasks could be accomplished by Nebula in a collaborative way. This paper introduced Nebula's architecture and key modules,and according to experimental data,we discussed the Grid GIS's advantages,application scenar-ios and future directions.

关键词： Grid GIS distributed geospatial computing Peer-to-Peer computing

ON IMPROVEMENT OF BARE SURFACE SOIL MOISTURE ESTIMATION WITH L-BAND DUAL-POLARIZATION RADAR

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ON IMPROVEMENT OF BARE SURFACE SOIL MOISTURE ESTIMATION WITH...

Optimum segmentation of simple objects in high-resolution remote sensing imagery in coastal areas

遥感定量反演算法研讨会

作者： Jiancheng Sh (state key Laboratory of {2. sensing Science, institute of remote sensing applications, beijing, china)

The capability to predict global water- and energy-cycle consequences of Earth-system variability and change is one of the key issues in the Earth-system science study. It requires the improved capability to monitor spatial and temporal distributed soil moisture accurately. On the capability of the instruments side, the available active microwave sensors, such as ASAR on ENVISAT, RADARSAT, and PALSAR on ALOS, do not provide the capability to monitor global soil moisture information at the temporal scale required in the atmospheric and hydrologic models. The passive microwave sensor AMSR-E on the EOS-Aqua has the high temporal resolution, but its capability is limited to low vegetation and very shallow surface layer. SMAP, with both active and passive L-band microwave instruments, will provide a significantly improved capability of monitoring soil moisture at the spatial and temporal sampling scales required by modeling and prediction of representing soil moisture related processes in the atmospheric and hydrologic models.

关键词：

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Science china Earth sciences 2006年第11期49卷 1195-1203页

作者： CHEN Jianyu1,2. PAN Delu1 & MAO Zhihua1 1. state key Laboratory of Satellite Ocean Environment Dynamics, Second {2. of Oceanography, state Oceanic Admini- stration, Hangzhou 310012. china 2. Shanghai {2. of Technical Physics, chinese academy of Science, Shanghai 2.0083, china state key Laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography State Oceanic Administration Hangzhou China Shanghai institute of Technical Physics Chinese Academy of Science Shanghai China

The optimum segmentation of ground objects in a landscape is essential for interpretation of high-resolution remotely sensed imagery and detection of objects; and it is also a technical foundation to efficiently use spatial information in remote {2. imagery. Landscapes are complex system composed of a large number of heterogeneous components. There are many explicit homogeneous image objects that have similar spectral character and yet differ from surrounding objects in high-resolution remote {2. imagery. Thereby, a new concept of Distinctive Feature of fractal is put forward and used in deriving Distinctive Feature curve of fractal evolution in multiscale segmentation. Through distinguishing the extremum condition of Distinctive Feature curve and the inclusion relationship of fractals in multiscale representation the Scalar Order is built. This can help to determinate the optimum scale in image segmentation for simple-objects, and the potential meaningful image-object fitting the intrinsic scale of the dominant landscape object can be obtained. Based on the application in high-resolution remote {2. imagery in coastal areas, a satisfactory result was acquired.

关键词： optimum scale, multiscale segmentation, image interpretation, remote sensing, coastal area.

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 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

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 {2. 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

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 {2. sensing, Wuhan University, Wuhan 430072. china state key Laboratory of Information Engineering in Surveying Mapping and {2. 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

A preliminary knowledge-driven prediction model of snail distribution in the Poyang Lake region

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chinese Science Bulletin 2008年第1期53卷 115-123页

作者： ZHAO An1,2.3 & BAO ShuMing1 1 The key Lab of Poyang Lake Ecological Environment and Resource Development, Jiangxi Normal University, Nanchang 33002., china 2.{2. of Geographic sciences and Resources Research, chinese academy of sciences, beijing 100101, china 3 School of Geography and Environmental sciences, Jiangxi Normal University, Nanchang 33002., china The key Lab of Poyang Lake Ecological Environment and Resource Development Jiangxi Normal University Nanchang China institute of Geographic sciences and Resources Research Chinese Academy of Sciences Beijing China School of Geography and Environmental sciences Jiangxi Normal University Nanchang China

Present monitoring and prediction of schistosomiasis’s intermediate parasite, snail, are based on re-mote sensing image’s spectral signatures, and the calculation result is in fact an incom-plete-constraints solution. TM image of the Poyang Lake region on October 31, 2.05 was combined with GIS thematic data (DEM, boundary of the Poyang Lake, vegetation, soil and land use) to make a prediction on snail spatial distribution in the region by remote sensing, geo-informatics and knowl-edge-driven modeling according to mechanism of snail occurrence. Result shows that with change of overall fuzzy membership of snail occurrence from high to low, snail occurrence of the snail samples of validation group goes up to 81% within 10% high fuzzy membership range, denoting high efficiency of the model in predicting snail occurrence.

关键词：鄱阳湖区域蜗牛分布模糊分类血吸虫病

Analysis of microwave brightness temperature of lunar surface and inversion of regolith layer thickness:Primary results of Chang-E 1 multi-channel radiometer observation

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Science china(Information sciences) 2010年第1期53卷 168-181页

作者： FA WenZhe & JIN YaQiu key Laboratory of Wave Scattering and remote {2. Information (MoE), Fudan University, Shanghai 2.0433, china key Laboratory of Wave Scattering and remote {2. Information (MoE) Fudan University Shanghai China

In china’s first lunar exploration project, Chang-E 1 (CE-1), a multi-channel microwave radiometer was aboard the satellite, with the purpose of measuring microwave brightness temperature from lunar surface and surveying the global distribution of lunar regolith layer thickness. In this paper, the primary 62. tracks of swath data measured by Chang-E 1 microwave radiometer from November 2.07 to February 2.08 are collected and analyzed. Using nearest neighbor interpolation based on the sun incidence angle in observations, global distributions of microwave brightness temperature from lunar surface at lunar daytime and nighttime are constructed. Using the three-layer model (the top dust-soil, regolith and underlying rock media) for microwave thermal emission of lunar surface, the measurements of brightness temperature and dependence upon latitude, frequency and FeO+TiO2.content, etc. are discussed. On the basis of the ground measurements at Apollo landing sites, the observed brightness temperature at these locations are validated and calibrated by numerical three-layer modeling. Using the empirical dependence of physical temperature upon the latitude verified by the measurements at Apollo landing sites, the global distribution of regolith layer thickness is then inverted from the brightness temperature data of CE-1 at 3 GHz channel. Those inversions at Apollo landing sites are com- pared with the Apollo in situ measurements. Finally, the statistical property of regolith thickness distribution is analyzed and discussed.

关键词： Chang-E 1 multi-channel brightness temperature Apollo landing site physical temperature inversion of regolith layer thickness