Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Transactions of the Chinese Society of Agricultural Engineering》 2015-12
Add to Favorite Get Latest Update

Improvement of algorithm used for extraction hyperspectral feature bands of vegetation

Cheng Zhiqing;Zhang Jingsong;Meng Ping;Li Yanquan;Wang Hesong;Li Chunyou;Research Institute of Forestry,Chinese Academy of Forestry;Key Laboratory of Tree Breeding and Cultivation,State Forestry Administration;Co-Innovation Center of Sustainable Forestry in Southern China,Nanjing Forestry University;Forestry College,Beijing Forestry University,Key Laboratory of Forest Cultivation and Protection of the Ministry of Education;College of Landscape and Travel,Agricultural University of Hebei;  
Hyperspectral data involve a huge amount of information,and how to select the best combination band to build high-accuracy spectrum model,is the key work for the developing of remote sensing inversion model of vegetation parameter.Maximum correlation coefficient(MCC) is a method of extracting combination bands by using the correlation coefficient between vegetation parameter and hyperspectral band as the selection index of feature combination band.Due to simple calculation and easier operation,MCC is widely used in dimensionality reduction and extracting the useful bands of hyperspectral data.However,the method only considers to extract the maximum correlation bands of vegetation parameter variable,which may lead to overlook the indirect effect of other factors.Optimum index factor(OIF) is the extraction method of feature combination bands based on the basic idea that the amount of information is proportional to the sum of mean square deviation,and inversely proportional to the sum of correlation coefficient for each band.Although OIF can obtain feature combination bands of abundant information and small redundancy,the highest correlation between vegetation parameter and the selected band can't be ensured,which may cause the decreasing of estimation ability of the model which is built by the extraction bands.Obviously,OIF method and MCC method in the extraction of feature combination bands have complementary advantages.In this study,by using the evaluation method with entropy coefficients,OIF and MCC are endowed with objective weight respectively,and based on this the optimal combination band is obtained,which is named as optimum index factor and correlation coefficient(OIFC).The feature combination bands extracted by OIFC,have the highest correlation with the corresponding vegetation parameters,as well as with ensured rich information.In order to demonstrate OIFC's practicality,feature combination bands of winter wheat leaf chlorophyll which was extracted by OIFC were given as an example.The 760,1860 and 1970 nm were considered as feature combination bands and selected by OIFC.Then,hyperspectral model of wheat chlorophyll content was built by partial least squares.Compared with the models from vegetation indices such as normalized difference vegetation index(NDVI) and soil-adjusted vegetation index(SAVI) and OIF method,the precision of the model built by OIFC was the highest and the coefficients of determination was 0.7390.The determination coefficient of linear fitting between predicted values by OIFC and measured chlorophyll contents was 0.827,and the root mean square error was 5.440.The results show that the extracted bands of winter wheat chlorophyll based on OIFC has higher modeling precision.It also proves that OIFC can reliably and effectively extract feature combination bands of vegetation parameters from hyperspectral data.The method of OIFC can also provide theoretical basis and technical support for further improving the accuracy of hyperspectral estimation model of physical and chemical parameters of vegetation.
【Fund】: 林业公益性行业科研专项项目(201204105);; 国家自然科学基金项目(41105076);; 国家重大科学研究计划(2012CB956202)
【CateGory Index】: TP79
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 10 Hits
1 ZHAO Xiang, LIU Su-hong, WANG Pei-juan, WANG Jin-di, TIAN Zhen-kun (Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing 100875; s, Beijing 100875, China);A Method for Inverting Chlorophyll Content of Wheat Using Hyperspectral[J];Geography and Geo-Information Science;2004-03
2 YAO Xia,TIAN Yong-Chao,NI Jun,ZHANG Yu-Sen,CAO Wei-Xing,ZHU Yan(National Engineering and Technology Center for Information Agriculture/Jiangsu Key Laboratory for Information Agriculture,Nanjing Agricultural University,Nanjing 210095,China);Estimation of Leaf Pigment Concentration in Rice by Near Infrared Reflectance Spectroscopy[J];Chinese Journal of Analytical Chemistry;2012-04
3 AI Tian cheng, LI Fang min, ZHOU Zhi an, ZHANG Min, WU Hai rong (Hubei Agricultural College,Hubei Jingzhou 434103,China);Relationship between Chlorophyll Meter Readings(SPAD Readings) and Chlorophyll Content of Crop Leaves[J];JOURNAL OF HUBEI AGRICULTURAL COLLEGE;2000-01
4 ZHU Xin-kai~1, SHENG Hai-jun~2, GU Jing~2, Zhang Rong~1, Li Chun-yan~1(1. Wheat Research Institute, Yangzhou University, Yangzhou, Jiangsu 225009, China; 2. College of Environmental Science and Engineering, YangZhou University, YangZhou, Jiangsu 225009, China);Primary Study on Application of SPAD Value to Estimate Chlorophyll and Nitrogen Content in Wheat Leaves[J];Acta Tritical Crops;2005-02
5 Wang Qiang 1,2,Yi Qiuxiang 1,Bao Anming 1,Luo Yi 1,Zhao Jin 1(1.Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences,Xinjiang URUMQI 830011,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China);Estimating chlorophyll density of cotton canopy by hyperspectral reflectance[J];Transactions of the Chinese Society of Agricultural Engineering;2012-15
6 ZHANG Jun-hua1,2,ZHANG Jia-bao2(1.State Experimental Station of Agro-Ecosystem in Fengqiu,State Key Laboratory of Soil and Sustainable Agriculture,Institute of Soil Science,Chinese Academy of Sciences,Jiangsu Nanjing 210008,China)(2.Graduate School of the Chinese Academy of Sciences,Beijing 100039,China);Response of Winter Wheat Spectral Reflectance to Leaf Chlorophyll,Total Nitrogen of Above Ground[J];Chinese Journal of Soil Science;2008-03
7 HU Qiong WANG Guo-Ying OU Jia-Ming WANG Rui-Li (College of Physics and Electronic Information, Yunnan Normal University, Kunming 650092, P. R. China);Effect of Water Ligation on the Redox Potential and Infrared Spectra of Chlorophyll-a[J];Acta Physico-Chimica Sinica;2010-11
8 LIU Jian\|ping, ZAHO Ying\|shi, SUN Shu\|ling (The Graduate School, University of Science & Technology of China. Beijing 100039 China);Experimental Studies about Methods on Optimal Bands Selection of Hyperspectral Remote Sensing Datasets[J];Remote Sensing Technology and Application;2001-01
9 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
10 TIAN Yongchao,ZHU Yan,CAO Weixing,DAI Tingbo (Key Laboratory of Crop Growth Regulation' Ministry of Agriculture, Nanjing Agricultural University,Nanjing 210095,China);Relationship between canopy reflectance and plant water status of wheat.[J];Chinese Journal of Applied Ecology;2004-11
Chinese Journal Full-text Database 10 Hits
1 WANG Ting et al (Civil Engineering and City Developments of Jiujiang University,Jiujiang,Jiangxi 332005);Study on the Relation between Content N and SPAD in Bamboo's Leaf[J];Journal of Anhui Agricultural Sciences;2006-15
2 LU Wei et al(Jiangsu Provincial Key Laboratory of Modern Agricultural Equipment and Technology,Jiangsu University,Zhenjiang,Jiangsu 212013);Application of the Hyperspectral Technology in Diagnose of and Monitor of the Information of Crop Growth[J];Journal of Anhui Agricultural Sciences;2007-06
3 CHEN La(College of Resources & Environmental Administration,Jiangxi University of Finance and Economics,Nanchang,Jiangxi 330032);Application of Hyperspectral Remote Sensing Data in Information Retrieval from Plants[J];Journal of Anhui Agricultural Sciences;2009-08
4 JIAN Li et al (College of Agronomy and Biotechnology,Southwest University,Chongqing 400715);Determination and Analysis of SPAD Value and Chlorophyll Contents in Cymbidium from Guizhou[J];Journal of Anhui Agricultural Sciences;2009-35
5 QIAO Yu-qiang et al(Crop Institute,Anhui Academy of Agricultural Sciences,Hefei,Anhui 230031);Screening on Super-high-yielding Wheat Varieties in Huaibei Area and Analysis on Their Physiological Characters[J];Journal of Anhui Agricultural Sciences;2010-04
6 QIU Min et al (Ningxia Academy of Agriculture and Forestry Crops Research Institute,Yinchuan,Ningxia 750105);Establish Ningxia High Yield and Quality Multiple Anti-Dwarf of Basic Wheat Population[J];Journal of Anhui Agricultural Sciences;2010-30
7 ZHANG Xiao-dong et al(Key Laboratory of Modern Agricultural Equipment and Technology,Ministry of Education & Jiangsu Province,Jiangsu University,Zhenjiang,Jiangsu 212013);Study on Estimation Model for Rape Moisture Content under Water Stress Based on Hyperspectral Remote Sensing[J];Journal of Anhui Agricultural Sciences;2011-30
8 ZHANG Xiao-dong et al(Key Laboratory of Modern Agricultural Equipment and Technology,Ministry of Education & Jiangsu Province,Jiangsu University,Zhenjiang,Jiangsu 212013);Design and Optimization for Light Source on High Spectral Information Collection of Crop Canopy[J];Journal of Anhui Agricultural Sciences;2011-31
9 ZHANG Xiao-dong et al(Key Laboratory of Modern Agricultural Equipment and Technology,Ministry of Education & Jiangsu Province,Jiangsu University,Zhenjiang,Jiangsu 212013);Analysis for High-spectral Features Compensation and Composite Pattern of Rape Nitrogen[J];Journal of Anhui Agricultural Sciences;2011-32
10 MIAO Shen-yu et al(School of Life Sciences,Guangzhou University,Guangzhou,Guangdong 510006);Study on Relationship between SPAD and Chlorophyll Contents of 50 Plant Species[J];Journal of Anhui Agricultural Sciences;2012-01
China Proceedings of conference Full-text Database 7 Hits
1 SUN Jun 1,2,LU Bing 2,WU Xiaohong 2 1.Key Laboratory of Modern Agricultural Equipment and Technology,Ministry of Education&Jiangsu Province,Jiangsu University,Zhenjiang,Jiangsu 212013,P.R.China2.College of Electric and Information Engineering,Jiangsu University,Zhenjiang 212013,P.R.China;The Prediction of Rice Leaf's Nitrogen Content based on Leaf Spectrum on the Heading Stage[A];[C];2010
2 Wang Pei,Luo Xiwen,Zhou Zhiyan,Zang Ying(Key Laboratory of Key Technology on Agricultural Machine and Equipment(South China Agricultural University),Minstry of Education,P.R.China,Guangzhou,510642,China);Study on the Index of Water Deficit Diagnosis of Sugarcane[A];Chinese Society of Agricultural Engineering[C];2011
3 LI sheng-dong WANG fa-hong SI ji-sheng FENG bo KONG ling-an (Shandong Academe of Agriculture Science Crop Research Institute,Jinan 250100,China);Comparison study of WUE with different genotypes of winter wheat under two planting system[A];[C];2006
4 LU Lin, ZHU Ying-xiong, ZHANG Li-fang, WANG Ji-hua (Institute of Agricultural Quality Standard & Testing Technique, Yunnan Academy Agricultural Sciences, Yunnan Kunming 650205, China; Lidou Flower Company, Yunnan Tonghai 652705, China);The effect of organic cultural substrate on quality and yield of cut flower of rose[A];[C];2006
5 Wang Pei Chen Haibo Li Jiuhao;The Relationship Among Sugarcane Leaf Water Potential,Leaf Spectral Reflectance And Soil Moisture Under Controlling Irrigation[A];Chinese Society of Agricultural Engineering[C];2010
6 AI Tian-cheng, LI Fang-min, LIU An-xun, Yuto HARA (1 Hubei Provincial Technology Research Center for Wetlands Development in Hubei Agricultural College, Jingzhou, Hubei, 434025, China; 2 Hubei Provincial Key Lab. of waterlogged Disaster and Wetland Agriculture in Hubei Agricultural College, Jingzhou, Hubei , 434025, China; 3 Department of Agronomy, Hubei Agricultural College, Jingzhou, Hubei , 434025, China; 4 Japan International Cooperative Agency, Tokyo, 151-8558, Japan );Research on Effects of Inflow Application Method and Inflow Fertilizer in Paddy Field[A];[C];2002
7 WANG Jing-jing,SUN Ling,LIU Hua-zhou(Institute of Agricultural Economy and Information,Jiangsu Academy of Agricultural Sciences,Nanjing 210014,China);Estimation of the Nitrogen Concentration of Water Hyacinth by Hyperspectral Remote Sensing[A];[C];2011
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 SU Lihong1,LI Xiaowen 1,2,LIANG Shunlin3,WANG Jindi1$$$$(1. Research Center for Remote Sensing and GIS, Beijing Normal University,Beijing 100875, China; 2. Center for Remote Sensing and Dept. of Geography, Boston University, Boston, 02215, MA, USA; 3. Department of Geography, University of Maryland, College Park, MD 20742 USA);Data Frame and Spectral Simulation for Remote Sensing Spectral Data Base[J];Geo-information Science;2002-04
2 Zhang Luda; Shen Xiaonan;Zhao Longlian;Li Junhui (College of Basic Science and Technology,China Agricultural University,Beijing 100094) Zhang Jianping; Xie Wenyan;Shu Ruxin (Shanghai Tobacco (Group)Corporation Thnical Center,Shanghai 200082);Application of Principal Component-All Possible Regression in Quantitative Analysis of Flue-cured Tobacco and Wheat Using Near-Infrared Spectroscopy[J];CHINESE JOURNAL OF ANALYTIEAL CHEMISTRY;2000-06
3 CHU Xiao-Li,XU Yu-Peng,LU Wan-Zhen(Research Institute of Petroleum Processing,Beijing 100083);Research and Application Progress of Chemometrics Methods in Near Infrared Spectroscopic Analysis[J];Chinese Journal of Analytical Chemistry;2008-05
4 KONG Cui-Ping, CHU Xiao-Li, DU Ze-Xue, LU Wan-Zhen (Research Institute of Petroleum Processing, Beijing 100083);Prediction of Main Chemical Compositions in Biodiesel by Near Infrared Spectroscopy[J];Chinese Journal of Analytical Chemistry;2010-06
5 ZHANG Ju-Hua,ZHU Xiang-Rong,LI Gao-Yang,SHAN Yang, SHANG Xue-Bo,HUANG Lu-Hong,SHUAI Ming(Hunan Food Test and Analysis Centre,Hunan Academy of Agricultural Science,Changsha 410125);Identification of Camellia Oils by Near Infrared Spectroscopy Combined with Chemometrics[J];Chinese Journal of Analytical Chemistry;2011-05
6 GUO Ni(Institute of Arid Meteorology, CMA,Lanzhou,730020,China);Vegetation Index and Its Advances[J];;2003-04
7 XIE Dong-hui1,WANG Pei-juan2,ZHU Qi-jiang1,ZHOU Hong-min1 1.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University,School of Geography and Remote Sensing Science,Beijing Normal University,Beijing 100875,China2.Chinese Academy of Meteorological Sciences 100081,China;Modeling Polarimetric BRDF of Leaves Surfaces[J];Spectroscopy and Spectral Analysis;2010-12
8 AI Tian cheng, LI Fang min, ZHOU Zhi an, ZHANG Min, WU Hai rong (Hubei Agricultural College,Hubei Jingzhou 434103,China);Relationship between Chlorophyll Meter Readings(SPAD Readings) and Chlorophyll Content of Crop Leaves[J];JOURNAL OF HUBEI AGRICULTURAL COLLEGE;2000-01
9 LEI Ze-xiang, AI Tian-cheng, LI Fang-min, DONG Wei (Departmint of Horticulture, Hubei Agricultural College, jingzhou,Hubei 434103,China);The Relationships between SPAD Readings and the Contents of Chlorophyll and Nitrogen in Strawberry Leaves[J];Journal of Hubei Agricultural College;2001-02
10 YANG XiaoHua 1,2,HUANG JingFeng 1,WU YaoPing 2,WANG JianWen 2,WANG Pei 3,WANG XiaoMing 2 & Alfredo R.HUETE 4 1 Institute of Remote Sensing & Information Application,Zhejiang University,Hangzhou 310029,China;2 Meteorological,Hydrographic,Spatial & Synoptic Central Station of General Staff Headquarters,Beijing 100081,China;3 State Key Laboratory of Earth Surface Processes & Resource Ecology,Beijing Normal University,Beijing 100875,China;4 Department of Soil,Water,and Environmental Science,University of Arizona,Tucson,AZ 85721,USA;Estimating biophysical parameters of rice with remote sensing data using support vector machines[J];中国科学:生命科学(英文版);2011-03
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved