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《Journal of Geomatics Science and Technology》 2011-03
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Bands Selection to Invert Remote Sensing Model for Retrieving the Leaf Biochemical Components

MA Wei-wei1,ZHANG Lian-peng1,MA Xiang-hua2,CHEN Shi-cheng1,GUO Yang-yang1(1.School of Geodesy and Geomatics,Xuzhou Normal University,Xuzhou 221116,China;2.Production Department of Shanghai Dahua Sureying & Mapping Co.Ltd.,Shanghai 200136,China)  
The remote sensing radiative transfer model PROSPECT may be used to retrieve the biochemical components of vegetation leaf,the inversion accuracy may be influenced by the bands combination.A bands selection method based on the constrained least correlation of wavebands was proposed.Inverted results based on the selected bands were validated and compared with the results of full bands based method for simulation and measured data.The results showed that,for simulation data,the inversion accuracy of the proposed methods was above 99%;for measured data,the inversion accuracy of chlorophyll and water based on the selected bands was promoted slightly and the accuracy of dry matter was promoted significantly.
【Fund】: 国家自然科学基金资助项目(40771143)
【CateGory Index】: P237
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 ZHANG Li~(1,2),GONG Dan-chao~1,HU Hai-yan~1 (1.Xi'an Research Institute of Surveying and Mapping,Xi'an 710054,China; 2.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China);Sequential Projection Pursuit of Hyperspectral Imagery Feature Extraction[J];Journal of Geomatics Science and Technology;2010-01
2 YAN Chun yan,LIU Qiang,NIU Zheng,WANG Chang yao(LARSIS, Institute of Remote Sensing Applications, Chinses Academy of Sciences, Beijing 100101,China);Inversion of Vegetation Biochemicals by Remote Sensing[J];Journal of Remote Sensing;2004-04
3 RUAN Wei-Li NIU Zheng (Key Laboratory of Remote Sensing Information Sciences, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China);Comparison of Retrieving Plant Biochemical Components with Statistical and Physical Models[J];Journal of the Graduate School of the Chinese Academy of Science;2004-01
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Xie Donghui Zhu Qijiang Wang Jindi Xu Kai (School of Geography and Remote Sensing Science,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;Beijing Key Laboratory of Enviromental Remote Sensing and City Digitalization,Beijing Normal University: 100875,Beijing,China);ANALYSIS ON THE VERTICAL DISTRIBUTION OF BIOCHEMICAL PARAMETERS BASED ON A 3D VIRTUAL CORN CANOPY SCENE[J];Journal of Beijing Normal University(Natural Science);2007-03
2 GUO Yangyang,ZHANG Lianpeng,WANG Degao,MA Weiwei;Application of Wavelet Analysis for Determining Chlorophyll Concentration in Vegetation by Hyperspectral Reflectance[J];Bulletin of Surveying and Mapping;2010-08
3 CAI Bo-feng1,2,SHAO Xia2 (1.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;2.Beijing Municipal Research Academy of Environmental Protection,Beijing 100037,China);LEAF AREA INDEX PETRIEVAL BASED ON REMOTELY SENSED DATA AND PROSPECT+SAIL MODEL[J];Remote Sensing for Land & Resources;2007-02
4 LOU Xue-ting,ZENG Yuan,WU Bing-fang(Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China);Advances in the Estimation of Above-ground Biomass of Forest Using Remote Sensing[J];Remote Sensing for Land & Resources;2011-01
5 SUN Lin,CHENG Li-juan Geomatics College,Shandong University of Science and Technology,Qingdao 266510,China;Analysis of Spectral Response of Vegetation Leaf Biochemical Components[J];Spectroscopy and Spectral Analysis;2010-11
6 YANG Ke-ming1,GUO Da-zhi1,CHEN Yun-hao2 (1.Institute of Survey and Land Science,China University of Mining & Technology(Beijing),Beijing 100083,China; 2.Institute of Resources Sciences,Beijing Normal University,Beijing 100875,China);Analysis of Vegetation Spectral Features Based on Hyperspectral Imaging Data[J];Computer Engineering and Applications;2006-31
7 YAN Yan DENG Zhi-hui CHEN Mei-hua Institute of Geology,China Earthquake Administration,100029,Beijing,China;Research on the Relation between Chlorophyll Content and the Spectral Characteristics of Some Representative Plants in East Lake Area in Wuhan[J];China Forestry Science and Technology;2008-05
8 SHEN Yan~(1,2),NIU Zheng~2,MIAO Qi-long~1,XU Yong-ming~3(1.Department of Atmospheric Sciences,NUIST,Nanjing 210044,China;2.The State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;3.Sino-America Cooperative Remote Sensing Center,NUIST,Nanjing 210044,China);Analysis of Dry-Leaf Biochemistry Based on the Normalized Hyperspectral Position Variables[J];Journal of Nanjing Institute of Meteorology;2006-06
9 Yuan Jinguo1,2,Niu Zheng1 (1.State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;2.College of Resource and Environmental Sciences,Hebei Normal University,Shijiazhuang 050016,China);Nitrogen and chlorophyll mapping based on Hyperion hyperspectral image[J];Transactions of the Chinese Society of Agricultural Engineering;2007-04
10 YANG Ke-ming~(1),CHEN Yun-hao~(2),GUO Da-zhi~(1),JIANG Jin-bao~(2)(1.Institute of Survey and Land Science,China University of Mining and Technology,Beijing 100083,China;2.Institute of Resources Sciences,Beijing Normal University,Beijing 100875,China);Application of vegetation spectral features based on PHI imaging data[J];Journal of Xi'an University of Science and Technology;2006-04
【Secondary Citations】
Chinese Journal Full-text Database 7 Hits
1 YI Yao-hua,MEI Tian-can,QIN Qian-qing,GONG Jian-ya;Unsupervised Man-made Target Detection in Hyperspectral Images Using Projection Pursuit[J];Bulletin of Surveying and Mapping;2004-02
2 Dai Changda Lei Liping(Remote Sensing Satellite Ground Station, Chinese Academy of Science);The Information Characteristics of Thematic Mapper Data and the Optimal Band Combination[J];;1989-04
3 LiXiaowen (InstituteofRemoteSensingApplication ,CAS ,Beijing 10 0 10 1) GaoFeng (NanjingInstituteofGeographyandLimnology ,Nanjing 2 10 0 0 8)WangJindi (InstituteofRemoteSensingApplication ,CAS ,Beijing 10 0 10 1) ZhuQijiang (BeijingNor;Uncertainty and Sensitivity Matrix of Parametersin Inversion of Physical BRDF Model[J];Journal of Remote Sensing;1997-01
4 NIU Zheng\+1, CHEN Yong\|hua\+1, SUI Hong\|zhi\+1, ZHANG Qing\|yuan\+1, ZHAO Chun\|jiang\+2 (1. Institute of Remote Sensing of Applications, Chinese Academy of Sciences, Beijing 100101, China; 2. Institute of Crop., Beijing Academy of Agriculture and Fo;Mechanism Analysis of Leaf Biochemical Concentration by High Spectral Remote Sensing[J];JOURNAL OF REMOTE SENSING;2000-02
5 WU Chang\|shan\+1, XIANG Yue\|qin\+2, ZHENG Lan\|fen\+1, TONG Qing\|xi\+1 (1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China; 2. Institute of Geography, Chinese Academy of Sciences, Beijing 100101, China);Estimating Chlorophyll Density of Crop Canopies by Using Hyperspectral Data[J];JOURNAL OF REMOTE SENSING;2000-03
6 YAN Chun-yan, JIANG Geng-ming, WANG Cheng, NIU Zheng, WANG Chang-yao (LARSIS, Institute of Remote Sensing Applications, CAS, Beijing 100101,China);Theoretical Simulation of Single Leaf's Optical Characteristics[J];Journal of Remote Sensing;2003-02
7 LI Yun mei 1, WANG Xiu zhen 2, SHEN Zhan quan 2, YU Jun ping 2, WANG Ren chao 2(1. The College of Geography Science, Nanjing Normal University, Nanjing 210097, China; 2. Inst. of Agric. Remote Sensing & Inform. Apple., Zhejiang Universit;Simulation of rice leaf reflectance[J];Journal of Zhejiang Agricultural University(Agric.& Life Sci.);2002-02
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