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Analysis of forest backscattering characteristics based on polarization coherence tomography

Science China(Technological sciences) 2010年第S1期53卷 166-175页

作者： LUO HuanMin 1,LI XiaoWen 1,2.CHEN ErXue 3,CHENG Jian 4 & CAO ChunXiang 2. institute of Geo-Spatial Information Science and Technology,University of Electronic Science and Technology of China,Chengdu 610054,China 2.state {2. {2. of remote sensing Science,Jointly Sponsored by the institute of remote sensing applications of chinese academy of sciences and beijing Normal University,beijing 100101,China 3institute of Forest Resources Information Technique of chinese {12. of Forestry,beijing 100091,China 4 School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 610054,China state key Lab {2. {2. Sci Beijing 100101 Peoples R China beijing Normal Univ Beijing 100101 Peoples R China Univ Elect Sci & Technol China Inst Geospatial Informat Sci & Technol Chengdu 610054 Peoples R China chinese Acad Forestry Inst Forest Resources Informat Tech Beijing 100091 Peoples R China Univ Elect Sci & Technol China Sch Elect Engn Chengdu 610054 Peoples R China

It is difficult to make an inventory of vertical profiles of forest structure parameters in field ***,analysis and understanding of forest backscattering characteristics contribute to estimation and detection of forest vertical structure because of the close relationships between backscattering characteristics and structure *** vertical structure function in the complex interferometric coherence definition,which represents the vertical variation of microwave scattering with the penetration depth at a point in the 2.D radar image and can be used to analyze the forest backscattering characteristics,can be reconstructed from polarization coherence tomography(PCT).Based on PCT,the paper analyzes the forest backscattering characteristics and explores the inherent relationship between the result of PCT and the forest structure parameters from numerical simulation of Random Volume over Ground model(RVoG),Polarimetric SAR interferometry(PolInSAR)simulation of forest scene and PolInSAR data at L-band of the test site ***,the effects of the extinction coefficient and surface-to-volume scattering ratio in RVoG model on vertical backscattering characteristics are analyzed by means of numerical ***,by applying PCT to L-band POLInSAR simulations of forest scene,different variations of vertical backscattering due to different extinction coefficients and the ratios of surface-to-volume scattering resulting from different polarizations,forest types and densities are displayed and *** a concept of relative average backscattering intensity is presented,and the factors which affect its vertical distribution are also *** results show that there is high sensitivity of the vertical distribution of forest relative average backscattering intensity to the polarization,forest type and ***,based on repeat pass DLR E-SAR L-band airborne POLInSAR data,the capability of PCT technology for detection

关键词： backscattering characteristic POLInSAR PCT vertical structure function

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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 {2. sensing,Wuhan University,Wuhan 430079,China 2.state key {2. of {2. 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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A Restarted Conjugate Gradient Method for Ill-posed Problems

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Acta Mathematicae Applicatae Sinica 2003年第1期19卷 31-40页

作者： Yan-fei Wanglaboratory of remote{2. Information sciences, institute of remote sensing applications, chinese academy of sciences, P.O. Box 9718, beijing 100101, Chinastate key laboratory of Scientific and Engineering Computing, institute of Computational Mathematics and Scientific/Engineering computing, chinese academy of sciences, P.O. Box 2.19, beijing 100080, China laboratory of remote{2. Information sciences Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China state key {2. of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering computing Chinese Academy of Sciences Beijing China

Abstract This paper presents a restarted conjugate gradient iterative algorithm for solving ill-posed problems. The damped Morozov's discrepancy principle is used as a stopping rule. Numerical experiments are given to... 详细信息

关键词： keywords Ill-posed problems restarted CG damped discrepancy principle.

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Automatic generalization of metro maps based on dynamic segmentation

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Science China(Technological sciences) 2010年第S1期53卷 158-165页

作者： DONG WeiHua 1,TIAN Yuan 2.& ZHANG Yi 2.1 institute of Geography and remote{2.,beijing Normal University,beijing 100875,China 2.institute of remote{2. and Geographic Information System,Peking University,beijing 100871,China 1. institute of Geography and remote{2. Beijing Normal University Beijing 100875 China 2. institute of remote{2. and Geographic Information System Peking University Beijing 100871 China

A metro map is usually optimized for the readability of connections and transportation networks *** order to assure good readability and meet aesthetic considerations,a set of principles for good metro map layout are *** to these principles,a new methodology based on dynamic segmentation is presented to produce the metro maps ***,routes are constructed according to the line attribute similarity and geometry *** a set of cartographic generalization methods about the shape,angle,length,and topology are presented for these *** method is validated by beijing metro plan *** the experiment results,it can be concluded that this new method is more effective than the static segmentation method to produce metro maps with better readability for route plans.

关键词： metro maps generalization dynamic segmentation visualization

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remote sensing based shrub above-ground biomass and carbon storage mapping in Mu Us desert,China

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Science China(Technological sciences) 2010年第S1期53卷 176-183页

作者： XU Min 1,2.CAO ChunXiang 1,TONG QingXi 1,LI ZengYuan 3,ZHANG Hao 1,HE QiSheng 1,2.GAO MengXu 1,2.ZHAO Jian 1,2.ZHENG Sheng 1,2.CHEN Wei 1,2.& ZHENG LanFen 1 1state key {2. of {2. sensing Science,Jointly Sponsored by the institute of remote sensing applications of chinese academy of sciences and beijing Normal University,beijing 100101,China 2.Graduate School of the chinese academy of sciences,beijing 100049,China 3 Research institute of Forest Resources and Information Techniques,{12. academy of Forestry,beijing 10009,China 1. state key {2. of {2. sensing Science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China 2. Graduate School of the chinese academy of sciences Beijing 100049 China 3. Research institute of Forest Resources and Information Techniques Chinese Academy of Forestry Beijing 10009 China

The estimation of above-ground biomass(AGB) and carbon storage is very important for arid and semi-arid ***-1A/B satellite data combined with field measurement data was used for the estimation of shrub AGB and carbon storage in the Mu Us desert,*** correlations of shrub AGB and spectral reflectance of four bands as well as their combined vegetation indexes were respectively analyzed and stepwise regression analysis was employed to establish AGB prediction *** prediction equation based on ratio vegetation index(RVI)was proved to be more suitable for shrub AGB estimation in the Mu Us desert than *** AGB and carbon storage were mapped using the RVI based prediction model in *** statistics showed the western Mu Us desert has relatively high AGB and carbon storage,and that the gross shrub carton storage in Mu Us desert reaches 16 799 2.0 t,which has greatly contributed to the carbon fixation in northern China.

关键词： above-ground biomass carbon storage Mu Us desert HJ-1A/B remote sensing

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Study on NDVI-T_s space by combining LAI and evapotranspiration

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Science China Earth sciences 2006年第7期49卷 747-754页

作者： HAN Lijuan1,2.3, WANG Pengxin4, YANG Hua1,2.3, LIU Shaomin1,2.3 & WANG Jindi1,2.3 1. Research Center for remote sensing and GIS, School of Geography,{2. Normal University,{2. 100875, China 2. state key laboratory of remote sensing Science,{2. 100875, China 3.{2. key laboratory for remote sensing of Environment and Digital Cities,{2. 100875, China 4. Department of Information Management, College of Information and Electronic Engineering, China Agricultural University,{2. 100083, China 1. Research Center for remote sensing and GIS School of Geography Beijing Normal University Beijing 100875 China 2. state key {2. of {2. sensing Science Beijing 100875 China 3. beijing key {2. for {2. sensing of Environment and Digital Cities Beijing 100875 China 4. Department of Information Management College of Information and Electronic Engineering China Agricultural University Beijing 100083 China

This paper focuses on interpreting the different spatial relationships between NDVI and Ts, a triangular or a trapezoid, and on analyzing transformation conditions, the physical and ecological meanings of the vegetation index-surface temperature space as well. Further, we use the Tempera-ture-Vegetation Dryness Index (TVDI) to explain the existent meaning of a triangular space after NDVI reaches its saturated state by employing the relationships between NDVI, LAI and evapotranspiration. The specific relations between NDVI and Ts are useful for describing, validating and updating land surface models.

关键词： NDVI, land surface temperature, evapotranspiration, leave area index.

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Aerosol optical depth retrieval by HJ-1/CCD supported by MODIS surface reflectance data

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Science China Earth sciences 2010年第S1期53卷 74-80页

作者： SUN Lin1,2.SUN ChangKui1,LIU QinHuo2.& ZHONG Bo2.1Geomatics College,Shandong University of Science and Technology,Qingdao 2.6510,China 2.0} key {2. of {2. sensing Science,chinese academy of sciences,beijing 100101,China 1. Geomatics College Shandong University of Science and Technology Qingdao 266510 China2. State Key Laboratory of Remote Sensing Science Chinese Academy of Sciences Beijing 100101 China

The high spatial resolution and temporal observation frequency of HJ-1/CCD make it suitable for aerosol ***,because of the lack of a shortwave infrared band,it is difficult to use HJ-1/CCD imagery to retrieve aerosol optical depth(AOD).We developed a new algorithm for HJ-1/CCD AOD retrieval by introducing MODIS surface reflectance outputs(MOD09) as *** this algorithm HJ-1/CCD blue band surface reflectance was retrieved through MOD09 blue band surface reflectance by band matching of the two *** at 550 nm was then generated through a pre-calculated look-up table for HJ-1/*** HJ-1/CCD images covering the Jing-Jin-Tang(beijing-Tianjin-Tangshan) region were used to retrieve AOD using the new algorithm,and the AODs were then validated using AERONET ground measurements in beijing and *** validation shows that compared with AERONET ground measurements,2./2. AODs have error less than 0.1 in absolute value.

关键词： HJ-1/CCD surface reflectance spectrum conversion aerosol optical depth

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Cotton pixel identification with CBERS-02.CCD data based on spectral knowledge

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Science China(Technological sciences) 2005年第S2期48卷 129-144页

作者： LI Jing1,2.3, LIU Qinhuo1,3, LIU Qiang1, CHEN Liangfu1, BO Junhua3 & LI Shaokun3 1. state key {2. of {2. sensing Science, IRSA, chinese academy of sciences, beijing 100101, China 2. Graduate University of chinese academy of sciences, beijing 100049, China 3. The key Oasis Eco-agriculture {2. of Xinjiang Production and Construction Corps, Shi Hezi 832.00, China 1. state key {2. of {2. sensing Science IRSA Chinese Academy of Sciences 100101 Beijing China 2. Graduate University of chinese academy of sciences 100049 Beijing China 3. The key Oasis Eco-agriculture laboratory of Xinjiang Production and Construction Corps 832000 Shi Hezi China

In this paper the in-situ experiment data are collected from the Spectral Library to estimate the possible values of the primary structural parameters in each cotton growing season by statistics. Based on these values the spectra of the cotton major growing seasons were simulated and analyzed using the canopy reflectance model, SAILH. In this way we also simulated the cotton pixel spectra corresponding to CBERS-02.CCD and took them as the reference spectra for spectra fitting. Then No.143 Regiment of No.8 Agricultural Division of Xinjiang Production and Construction Corps (XPCC) was chosen as the study area, and two spectra fitting methods, Mahalanobis distance and spectra angle, were used to identify cotton pixel from CBERS-02.CCD image of the study area. At last we analyzed the effect of the calibration coefficients error on cotton identifying. The results showed that within 4% error the spectral angle classifier can still have a good performance.

关键词： CBERS-02 cotton pixel identification spectra fitting.

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Matrix calculation of high-dimensional cross product and its application in automatic recognition of the endmembers of hyperspectral imagary

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Science China(Information sciences) 2011年第1期54卷 197-203页

作者： GENG XiuRui1,ZHAO YongChao1,LIU SuHong2.& WANG FuXiang3 1key laboratory of Technology in Geo-spatial Information Processing and Application System, {2. of Electronics,chinese academy of sciences,beijing 100080,China 2.7} key laboratory of remote sensing Science,Jointly Sponsored by beijing Normal University and the institute of remote sensing applications of chinese academy of sciences, School of Geography,beijing Normal University,beijing 100875,China 3School of Electronics and Information Engineering,Beihang University,beijing 100191,China 1. key laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing 100080 China2. State Key Laboratory of Remote Sensing Science Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences School of Geography Beijing Normal University Beijing 100875 China3. School of Electronics and Information Engineering Beihang University Beijing 100191 China

This paper gives the definition of the high-dimensional cross product and its calculation by extending the 3-D cross product definition into the high-dimensional vector *** on the properties of the cross product,the volume variance index(VVI)is proposed to be used in extracting automatically the endmembers of the hypherspectral imagery which eliminates the shortcoming of the traditional method of using simplex only where the extraction results were easily impacted by the abnormal pixels.A case study of endmembers extraction experiment using the VVI method with the AVIRIS data for Cuprite has shown a very good result.

关键词： endmember simplex hyperspectral imagery cross product

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Study of coastal water zone ecosystem health in Zhejiang Province based on remote sensing data and GIS

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Acta Oceanologica Sinica 2010年第5期29卷 27-34页

作者： CHEN Zhenghua PAN Delu BAI Yan School of the Environment Gangxi University Nanning 530004 China state Environmental Protection key {2. of Satellite {2. sensing Ministry of Environmental Protection Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101 China state key {2. of Satellite Ocean Environment Dynamics Second Institute of Oceanography State Oceanic Administration Hangzhou 310012 China

The coastal ecosystem health assessment is a field of increasing *** this paper,a preliminary assessment of ecosystem health in Zhejiang coastal water zone was made,mainly based on remote sensing data and GIS *** spatial and quantitative evaluation was facilitated by the progress of remote sensing and GIS technique ***,human activities,hydrology and ecosystem problems in the study area were discussed and ***,from 4 aspects of human stress,physical,chemical and biological responses to anthropogenic activities and natural stress,several indicators such as water transparency（Secchi Disk Depth,SDD）,suspended substance concentration,dissolved inorganic nitrogen,active phosphate,chlorophyll,harmful algae bloom,as well as distribution of sewage,sea lanes and port were ***,the Analytic Hierarchical Process was used for indicator weight calculation,and the ecosystem health criteria were established according to the integrative analysis of national water quality criteria,similar coastal ecosystem health research in other places or data inherent *** results indicated that from 2.05 to 2.07 the coastal water ecosystem health value in Zhejiang Province was unhealthy and needs ecological restoration by human intervention.

关键词： coastal water zone ecosystem health indicator remote sensing GIS

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