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Object registration for remote sensing images using robust kernel pattern vectors

science china(Information sciences) 2012年第11期55卷 2611-2623页

作者： DING MingTao1,JIN Zi2.TIAN Zheng1,3.DUAN XiFa1,ZHAO Wei1 & YANG LiJuan1 1Department of Applied Mathematics,Northwest polytechnical University,Xi'an 710072.china 2.epartment of Statistics,University of British Columbia,3.3.-63.6 Agricultural road,Vancouver,BC V677 1Z2.Canada 3.tate key laboratory of {3. sensing science,institute of {3. sensing Applications,chinese academy of sciences,Bejing {12.,china 1. Department of Applied Mathematics Northwest Polytechnical University Xi’an 710072 China2. Department of Statistics University of British Columbia 3333-6356 Agricultural Road Vancouver BC V677 1Z2 Canada3. State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications Chinese Academy of Sciences Bejing 100101 China

The registration of multitemperal remote sensing images before and after a disaster is a challenging *** main reason is that there is a dearth of homologous features that can be used as tie points for registration of variform *** paper proposes a new registration method based on robust kernel pattern vector(KpV) for water objects in the remote sensing images,which have complex deformation before and after a *** show how the variform objects can be precisely registered using their robust kernel pattern vectors(rKpVs).The contribution can be divided into three ***,a novel shape descriptor,named as kernel pattern vector(KpV),is ***,a robust kernel principal component analysis(rKpCA) method is proposed,which can not only capture the common pattern of the variform objects but can also act as the Criterion for outlier ***,a registration approach is derived based on the implicit *** demonstrate the power of the proposed approach by comparing it with other existing methods using two real cases:one for lake monitoring in the Jiayu region,and the other for damage mapping of earthquake-induced barrier lake at Tangjiashan(2.08 Wenchuan Earthquake).The results show that the method is effective in capturing the common structural pattern of the variform objects before and after a disaster.

关键词： remote sensing image object registration robust kernel pattern vectors(rKpVs) variform object outlier data effective

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Spatial prediction and analysis of Himalayan marmot plague natural epidemic foci in china based on HJ-1 satellite data

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science china Earth sciences 2010年第S1期53卷 8-15页

作者： GAO MengXu1,4,LI XiaoWen1,2.CAO ChunXiang1,ZHANG Hao1,LI Qun3.ZHOU Hang3.HE QiSheng1,4,XU Min1,4,ZHAO Jian1,4,ZHENG Sheng1,4 & CHEN Wei1,4 1State {2. laboratory of remote {3. science,Jointly Sponsored by the institute of remote {3. Applications of chinese academy of sciences and beijing Normal University,{12.,{{13. 2.chool of Geography,beijing Normal University,beijing 100875,{{13. 3.ffice for Disease Control and Emergency response,chinese Center for Disease Control and prevention,beijing 102.06,{{13. 4Graduate University of chinese academy of sciences,beijing 100049,{{13. 1. State key laboratory of {2. {3. science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China4. Graduate University of Chinese Academy of Sciences Beijing 100049 China2. School of Geography Beijing Normal University Beijing 100875 China3. Office for Disease Control and Emergency Response Chinese Center for Disease Control and Prevention Beijing 102206 China

plague,caused by the gram-negative bacterium Yersinia pestis,is a serious and rapidly progressing illness in humans that can be fatal if not treated *** Qinghai-Tibet plateau is the largest area of natural Himalayan marmot(Marmota himalayana) plague foci in china and covers more than 63.000 *** County in Gansu province is a part of this natural focus of plague and was chosen as a study *** study used an ecological niche modeling(ENM) approach to predict the potential distribution of the Himalayan *** and Disaster Monitor Satellite(HJ-1) data was used to investigate environment factors that affect plague host animal *** animal point data from active surveillance was combined with environmental variables from the HJ-1 satellite and other databases,and the models of the potential distribution of Himalayan marmot were produced with the Genetic Algorithm for rule-Set production(GArp).The probability of marmot presence was divided into 0-5%,5%-2.%,2.%-40%,40%-80%,and 80%-100% *** with 80%-100% probability exhibited the greatest potential for the presence of Himalayan *** to the predicted potential distribution of Himalayan marmot in the study area,active surveillance of plague hosts and plague control and prevention could be more efficient.

关键词： Himalayan marmot plague spatial prediction GArp HJ-1 satellite

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A Spectral Index for Estimating Soil Salinity in the Yellow river Delta region of china Using EO-1 Hyperion Data

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pedosphere 2010年第3期20卷 378-388页

作者： WENG Yong-Ling GONG peng ZHU Zhi-Liang Department of Surveying and Mapping Engineering College of Transportation Southeast University Nanjing 210096(China) State key laboratory of {2. {3. science Institute of Remote Sensing Applications of the Chinese Academy ofSciences and Beijing Normal University Beijing 100101 (China) Department of Environment science Policy and Management University of California Berkeley CA 94720 (USA) ErOS Data Center U.S. Geological Survey Sioux Falls SD 57198 (USA)

Soil salinization is one of the most common land degradation processes. In this study, spectral measurements of saline soil samples collected from the Yellow river Delta region of china were conducted in laboratory and hyperspectral data were acquired from an EO-1 Hyperion sensor to quantitatively map soil salinity in the region. A soil salinity spectral index (SSI) was constructed from continuum-removed reflectance (Cr-reflectance) at 2.52.and 2.0{2.nm, to analyze the spectral absorption features of the salt-affected soils. There existed a strong correlation (r = 0.91) between the SSI and soil salt content (SSC). Then, a model for estimation of SSC with SSI was established using univariate regression and validation of the model yielded a root mean square error (rMSE) of 0.986 and an r2.of 0.87{2. The model was applied to a Hyperion reflectance image on a pixel-by-pixel basis and the resulting quantitative salinity map was validated successfully with rMSE = 1.92. and r2.= 0.62.. These suggested that the satellite hyperspectral data had the potential for predicting SSC in a large area.

关键词： hyperspectral reflectance soil salt content spectral absorption features

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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,{2. 2.3} of {3. sensing and Geographical Information Systems,peking University,beijing 100871,{2. 3.ollege of Urban and Environmental science,peking University,beijing 100871,{2. peking Univ Shenzhen Grad Sch Shenzhen Key Lab Recycling Econ Shenzhen 518055 Peoples R China peking Univ Inst Remote Sensing & Geog Informat Syst Beijing 100871 Peoples R China peking Univ Coll Urban & Environm Sci Beijing 100871 Peoples R 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

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Metallogenic characteristics of epithermal gold deposits in Tianshan, Xinjiang, china

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chinese science Bulletin 1999年第S2期44卷 138-139页

作者： FENG Jianzhong~1, FU Shuixing~2. WU Dewen~3.and YANG Zian~3.1. Department of Geology, peking University, {2. 100871, china 2. {2. {3. of Geology for Mineral resources, {2. 100012. china 3. Center of remote sensing for Geology, CNNC, {2. 101601, china Department of Geology Peking University Beijing 100871 China beijing institute of Geology for Mineral resources Beijing 100012 China Center of remote sensing for Geology CNNC Beijing 101601 China

TIANSHAN in southern Xinjiang belongs to the paleozoic island arc system in which volcanic rocks are extensively distributed. A series of epithermal gold deposits such as the Axi, Xitan, Cuiling andShuangfengshan gold deposits have been discovered. 1 Geological settings of epithermal gold deposits in Tianshan, southern Xinjiang Tianshan in southern Xinjiang belongs to the paleozoic island arc system. To its north is the Kazakhstan plate, and to its north is the Tarim plate. From west to east, the tectonic units are characterizedby Yili island arc, southern Tianshan arc-basin, Jiaoluotage island arc and Xingxingxia island arc. TheEW-trending Tianshan ore belt is controlled by Kanggurtag geosuture. In its west part, it is controlled byShenglidaban geosuture. The linear structure is NNW-trending; from north to south, the faults

关键词： metallogenic characteristics gold deposits Tianshan Xinjiang.

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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,{3. 100871,china institute of remote {2. and Geographic Information System Peking University Beijing 100871 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

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potential land for plantation of Jatropha curcas as feedstocks for biodiesel in china

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science china Earth sciences 2010年第1期53卷 120-127页

作者： WU WeiGuang 1,2.3.HUANG JiKun 1,3.& DENG XiangZheng 1,3.1 institute of Geographic sciences and Natural resources research,chinese {3. of sciences,beijing 100101,china 2.Department of Economics and Management,Zhejiang Forestry University,Linan 3.13.0,china 3.Center for chinese Agricultural policy,chinese {3. of sciences,beijing 100101,china 1. institute of Geographic sciences and Natural resources research Chinese Academy of Sciences Beijing 100101 China2. Department of Economics and Management Zhejiang Forestry University Linan 311300 China3. Center for Chinese Agricultural Policy Chinese Academy of Sciences Beijing 100101 China

As a renewable energy,biofuel has attracted great attention in china and the rest of *** with the national food security,china recently has shifted its biofuel development priority from grain-based to non-grain-based biofuels,including forest-based biodiesel,since *** curcas is one of major biodiesel ***,there is rising debate on availability of land for expanding Jatropha curcas *** overall goal of this paper is to evaluate potential land for Jatropha curcas used as feedstock for biodiesel in *** on {2. {3. data on land use,data on meteorological,soil and land slope,and suitable environment for Jatropha curcas plantation,this study uses Agro Ecological Zone method and considers social-economic constraints to evaluate potential suitable land for Jatropha curcas plantation in china's major Jatropha curcas production region,Southwest *** results show that while there are some potential lands to expand Jatropha curcas areas,amount of these lands will hardly meet the government's target for Jatropha curcas-based biodiesels development in the *** may need to reconsider its long-term targets on the development of Jatropha curcas-based biodiesels.

关键词： biodiesel Jatropha curcas potential land suitability evaluation Southwest china

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A semantic geographical knowledge wiki system mashed up with Google Maps

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science china(Technological sciences) 2010年第S1期53卷 52-60页

作者： GAO Yong,GAO Song,LI runQiang & LIU Yuinstitute of remote {2. and Geographical Information Systems,peking University,{3. 100871,china 1. institute of remote {2. and Geographical Information Systems Peking University Beijing 100871 China

A wiki system is a typical Web 2.0 application that provides a bi-directional platform for users to collaborate and share much useful information ***,computers cannot well understand the wiki pages in plain *** user-generated geographical content via wiki systems cannot be manipulated properly and efficiently unless the geographical semantics is explicitly *** this paper,a geographical semantic wiki system,Geo-Wiki,is introduced to solve this ***-Wiki is a semantic geographical knowledge-sharing web system based on geographical ontologies so that computers can parse and storage the multi-source geographical ***,Geo-Wiki mashed up with map services enriches the representation and helps users to find spatial distribution patterns,and thus can serve geospatial decision-making by customizing the Google Maps ApIs.

关键词： geo-ontology semantic wiki mashup Google Maps

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Land cover changes based on plant successions: Deforestation, rehabilitation and degeneration of forest in the upper Dadu river watershed

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science china Earth sciences 2005年第12期48卷 2214-2230页

作者： YAN Jianzhong1,2.3. ZHANG Yili1, BAI Wanqi1, LIU Yanhua4, BAO Weikai5, LIU Linshan1, 2.& ZHENG Du1 1. institute of Geographic {2.s and Natural resources research, chinese {3. of {2.s, beijing 100101, china 2. Graduate School of the chinese {3. of {2.s, beijing 10003., china 3. College of resources and Environment, Southwest Agricultural University, Chongqing 400716, china 4. The Ministry of {2. and Technology, p. C. china, beijing 100862. china 5. Chengdu institute of Biology, chinese {3. of {2.s, Chengdu 610041, china 1. institute of Geographic sciences and Natural resources research Chinese Academy of Sciences 100101 Beijing China 2. Graduate School of the chinese academy of {2.s 100039 Beijing China 3. College of resources and Environment Southwest Agricultural University 400716 Chongqing China 4. The Ministry of science and Technology P. C. China 100862 Beijing China 5. Chengdu institute of Biology Chinese Academy of Sciences 610041 Chengdu China

To link regional land use/cover changes with environmental effects, land cover changes are required to reflect vegetation successions, whereas the land cover classification systems commonly used nowadays cannot serve this purpose. In this paper, a new land cover classification system is established in which land covers are classified by the vegetation succes-sions, taking Zamtang County, Barkam County and Jinchuan County in the upper Dadu river watershed as a study area. Using multi-temporal remote sensing images, the land cover data of 1967, 1986 and 2.00 are obtained by means of integration of unsupervised classification and visual interpretation methods. The database facilitates the study of land use/cover changes, en-vironmental effects and ecological construction. Land cover changes reflect the main ecological processes in the upper Dadu river watershed. The landscape composed mainly of grasslands, wildwoods and alpine scrubs in 1967 was changed to that of grasslands, secondary forests, al-pine scrubs, fragmentary wildwoods, artificial forests, secondary scrubs in 2.00, meanwhile, the landscape got more fragmentized. The total area of the forests decreased by 9.4{2.. Study results have shown the process of restoration of logged areas in forest centers. From 1967 to 2.00, only 6.86 percents of logged areas were converted to shrubs, meadows or crop-lands, and the rest were converted into artificial forests or secondary forests. So the ecological shelter functions will be restored, stage by stage. Firewood collection, charcoal production and overgrazing are the three major triggers for the extensive degradation of alpine oak forests, Sa-bina tibetica forests and meadows. The arid valley grasslands expanded too. The degradation of vegetation in the southern slopes impairs ecological shelter functions and affects livelihood of local residents, so it is essential to find effective measures for ecological restoration and recon-struction. Field investigations have found

关键词： land use/cover classification, upper Dadu river watershed, vegetation successions, GIS, rS.

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Monitoring Dynamic Change of Land Cover Based on SVM and Satellite Images in Hanoi,Vietnam

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Wuhan University Journal of Natural sciences 2010年第4期15卷 355-362页

作者： ZHAO Jinling1,2. LIU Chuang1, 3.1. institute of Geographic {2.s and Natural resources research, chinese {3. of {2.s, beijing 100101, china 2. Graduate University of chinese {3. of {2.s, beijing 100049, china 3. College of resources {2. and Technology, beijing Normal University, beijing 100875, china institute of Geographic sciences and Natural resources research Chinese Academy of Sciences Beijing China Graduate University of chinese academy of {2.s Beijing China College of resources science and Technology Beijing Normal University Beijing China

An integral method,combining support vector ma-chine (SVM) with remote-sensing analysis techniques,was ex-plored to monitor Hanoi’s dynamic change of land cover. The landsat thematic mapper (TM) image in 199{2.the enhanced the-matic mapper plus (ETM+) image in 2.00,and the image with the charge-coupled device camera (CCD) on the china-Brazil earth resources satellite (CBErS) in 2.08 were used. Six land-cover types,including built-up areas,woodland,cropland,sand,water body and unused land,were identified. The detected results showed visually the rapid urban expansion as well as land-cover change of Hanoi from 199{2.to 2.08. There were {{2.6{2..54 hm2.cropland de-creased between 199{2.and 2.00,and 8 2.7.6 hm2.cropland de-creased between 2.00 and 2.08. Compared with cropland,wood-land firstly decreased and then increased,and the other types did not change significantly. The results indicate that CBErS dataset has the application potential in world resources researches.

关键词： land cover the china-Brazil earth resources satellite (CBErS) support vector machine (SVM) change detection

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