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《Journal of Remote Sensing》 2006-03
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Unmixing Hyperspectral Imagery Based on Support Vector Nonlinear Approximating Regression

WU Bo,ZHANG Liang-pei,LI Ping-xiang(State Key Lab.of Information Engineering in Surveying,Mapping & Remote Sensing,Wuhan University,Hubei Wuhan 430079,China)  
Spectral Mixture Analysis(SMA) is a straightforward and efficient approach to the spectral decomposition of hyperspectral remotely sensed scenes,Once a SMA model is developed,land cover proportions can be estimated from pixel values through model inversion.In this paper,we propose to estimate abundances from hyperspectral image using support vector regression(SVR) method.SVR method for abundance estimation can be essentially regarded as function approximation and generalization problem.Differing from other nonlinear regressive approaches which require predefined nonlinear mapping functions,this method transferred each spectral pixel into a high-dimension feature space by a kernel function,which will result in a spectral pixel in a feature space consisting of possibly many nonlinear combinations of the spectral bands of the original spectral signature.In this way the higher order relationships between the mixed pixels are exploited in the feature space.Projection iterative method has been used for endmember abstraction from the image,and then simulating nonlinear training and testing data by Hapke's approximation function.Experiment of simulating data and real hyperspectral image(Pushbroom Hyperspectral Imager,PHI) are conducted to validate the procedures.The experiments show that the method can provide better result of abundance estimation for hyperspectral image as compared with that of radial basis function-neural networks.In our simulating test,over 97% of the total pixels in the image lie within the bound of ±0.1,and the RMSE are no more than 3.5%.
【Fund】: 国家自然科学基金(40523005);; 国家973研究计划基金(2003CB415205);; 遥感科学国家重点实验室开放基金
【CateGory Index】: TP751
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【References】
Chinese Journal Full-text Database 9 Hits
1 WU Jian②, CHENG Peng-gen,HE Ting②, WANG Jing②(School of Geosciences and Surveying Engineering, East China Institute of Technology, Fuzhou, Jiangxi 344000, China; ②Key Laboratory of Land Use, Ministry of Land and Resources, Beijing 100035, China);A comparison of linear spectral model and neutral net model based on Hyperion data[J];Science of Surveying and Mapping;2008-01
2 WANG Xu-hong, GUO Jian-ming, JIA Bai-jun, ZHANG Yu-kun Department of City and Resources Science, Northwest University, Xi' an 710069, China;Mixed Pixels Classification of Remote Sensing Images Based on Cellular Automata[J];Acta Geodaetica et Cartographica Sinica;2008-01
3 Li Xi~1 Guan Zequn~2 Qin Kun~2 Zhang Li~3 Cao Lingling~4 (1 State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,Hubei 430079,China 2 School of Remote Sensing and Information Engineering,Wuhan University,Wuhan,Hubei 430079,China 3 722nd Research Institute of China Shipbuilding Industry CO,Wuhan,Hubei 430079,China 4 School of Mathematical Sciences,Peking University,Beijing 100871,China);Selecting Per-Pixel Endmembers Set Based on Bayesian Inference[J];Acta Optica Sinica;2009-09
4 CHEN Wei①,YU Xu-chu①,WANG He②(①Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China;②Digital LandView Technology Company Limited,Beijing 100020,China);Target detection in hyperspectral imagery using support vector regression[J];Science of Surveying and Mapping;2010-03
5 HU Maogui,WANG Jinfeng(State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China);Mixed-pixel Decomposition and Super-resolution Reconstruction of RS Image[J];Progress in Geography;2010-06
6 CHENG Xi1,3,SHEN Zhan-Feng1,LUO Jian-Cheng 1,SHEN Jin-Xiang2,3,HU Xiao-Dong1,3,ZHU Chang-Ming1,3(1.Institute of Remote Sense Application Institute,Chinese Academy of Sciences,Beijing 100101,China;2.Xinjiang Ecology and Geography Institute,Chinese Academy of Sciences,Urumq 830011,China;3.Graduate University of Chinese Academy of Sciences,Beijing 100049,China);METHOD ON SIMULATING REMOTE SENSING IMAGE BAND BY USING GROUND-OBJECT SPECTRAL FEATURES STUDY[J];Journal of Infrared and Millimeter Waves;2010-01
7 DING Hai-yong1,2,BIAN Zheng-fu1(1.School of Environment and Spatial Informatics,China University of Mining and Technology,Xuzhou 221008,China;2.School of Information and Engineering,Shandong Agricultural University,Tai'an 271018,China);Theory of support vector machine and its applications in remote sensing image processing[J];Computer Engineering and Design;2008-05
8 LI Hui1,2,WANG Yun-Peng1,LI Yan2,WANG Xing-fang1,2(1.Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,China;2.Computer School,South China Normal University,Guangzhou 510630,China);Unmixing Remote Sensing Imagery Based on Morphology and Support Vector Machines[J];Remote Sensing Technology and Application;2009-01
9 WU Bo1),YUAN Chun2) 1)(Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350002) 2)(Department of Land Science and Technology,China University of Geosciences,Beijing 100083);Visualized Analysis and Evaluation of Nonlinear Unmixing the Mixed Pixels[J];Journal of Image and Graphics;2010-01
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 SUN Yu-huan et al (College of Environment and Safety Engineering,Qingdao University of Science and Technology,Qingdao,Shandong 266042);Research Progress in Diagnosis Methods of Rice Nitrogen Nutrition[J];Journal of Anhui Agricultural Sciences;2008-19
2 YANG Bao-long et al (Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou,Guangdong 510640);Study on Extraction of Urban Green Space from QUICKBIRD Remote Sensing Images[J];Journal of Anhui Agricultural Sciences;2009-03
3 ZHU Shou-hui(Land and Resources Survey Planning Institute of Turpan area,Turpan,Xinjiang 838000);Research on Land Use Change in Turpan City[J];Journal of Anhui Agricultural Sciences;2009-14
4 LU Ying-cheng~(1),WANG Xin-yuan~(1),ZHUANG hua-feng~2,GAO Chao~(1) (1.College of Territorial Resources and Tourism,Anhui Normal University,Wuhu 241000,China;2.College of Sociology,Anhui Normal University,Wuhu 241000,China);Analyzing Structures and Functions of Weitian(artificial field) Patterns in Southeastern Anhui Province Based on Remote-sensing Information[J];Journal of Anhui Normal University(Natural Science);2006-01
5 DU Chong, LIN Nian-feng, TANG Jie, LI Zhao-yang (College of Environment and Resources, Jilin University, Changchun130026, China);RS-GIS Integration Research on Land Use Dynamic Changes in Western Plain of Jilin Province[J];Journal of Jiling University (Earth Science Edition);2005-03
6 JING Yan1,2,FENG Xi-jie3,DAI Wang-qiang3,SHI Ya-qin3,HAN Heng-yue3,LI Xiao-ni3,WANG Feng41.Institute of Crustal Dynamics,China Earthquake Administration,Beijing 100085,China2.School of the Earth Sciences and Resources,China University of Geosciences,Beijing 100083,China3.Shaanxi Earthquake Administration,Xi'an 710068,China4.Department of Personnet & Science & Technology,China Earthquake Administration,Beijing 100086,China;Locating the Middle Part of Lintong-Chang'an Fault in Shaanxi with Envisat-1 and ETM Remote-Sensing Data Mergence[J];Journal of Jilin University(Earth Science Edition);2008-03
7 ZHANG SuLab of Survey,Department of Civil Engineering,Tsinghua University,Beijing 100084,China;The research on the application of geographic frequency spectroscopy in interpreting remote sensing image[J];Journal of Chengdu University of Technology(Science & Technology Edition);2006-02
8 ZHENG Wei①②,LIU Chuang①,CAO Yun-gang①③,HUANG Da-peng①(①Global Change Information and Research Center,Institute of Geographical Sciences and Natural Resources Research,CAS,Beijing 100101;②Graduate University of Chinese Academy of Sciences,Beijing 100039;③Southwest Jiaotong University,School of Civil Engineering,Chengdu 610031);Extracting the flood inundated area based on Asar and TM image[J];Science of Surveying and Mapping;2007-05
9 WU Xin-cai(Information School of China Geological University,Wuhan 430074,China);The New Generation of MAP GIS[J];Geomatics World;2004-02
10 PAN Zhen-xiang;On Technological Method of Data Processing and Database Establishment for High Resolution Imagery[J];Bulletin of Surveying and Mapping;2008-10
China Proceedings of conference Full-text Database 3 Hits
1 Zheng yingzhuo~1 Guang Guixia~2 ~1China Institute of Defence Science and Technology.Information Engineering Department.Beijing 101601 2College of Information Engineering,Capital Normal University;Beijing 100037;Study on the relationship between solar zenith angle and degree of polarization in polarized remote Sensing[A];[C];2008
2 ;遥感影像辅助广州市土地利用现状调查[A];[C];2008
3 ;Bands Selection for Oil Spill Monitoring by MODIS Data Based on Spectral Characteristics[A];[C];2009
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 YANG Gui-jun,ZHANG Ji-xian;Research on Method of Decomposing Remote Sensing Mixed Pixel Based on Grey Correlation Theory[J];Bulletin of Surveying and Mapping;2004-10
2 ZHANG Wei, DU Pei-jun, ZHANG Hua-peng;Mixed Pixel Decomposition in Hyperspectral Remote Sensing Image Based on Neural Network[J];Bulletin of Surveying and Mapping;2007-07
3 ;Remote Sensing Spectral Database: Current Status, Future Trends[J];;2003-03
4 YE Ze tian 1, GU Xing fa 2 (1.Chinese Academy of S & M, Beijing 100039,China; 2.INRA Bioclimatogie, Montfavet, France);Simulation of Remote Sensing Images Based on MIVIS Data[J];ACTA GEODAETICA ET CARTOGRAPHIC SINICA;2000-03
5 LU Wei,YU xu-chu,LIU Juan,YANG Guo-peng(Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052 China);A Small Targets Detection Approach Based on Anomaly Distributing in Hyperspectral Imagery[J];Acta Geodaetica et Cartographica Sinica;2006-01
6 WANG Xu-hong, GUO Jian-ming, JIA Bai-jun, ZHANG Yu-kun Department of City and Resources Science, Northwest University, Xi' an 710069, China;Mixed Pixels Classification of Remote Sensing Images Based on Cellular Automata[J];Acta Geodaetica et Cartographica Sinica;2008-01
7 Feng Lin, Qi Zhengjun, He Mingfeng, et al,;A Model for Automatic Fractures Identification with Acoustic Imaging Logging Based on Cellular Automata[J];Well Logging Technology;2003-06
8 WEN Xing-ping1,2,HU Guang-dao1,2,YANG Xiao-feng3(1.Institute of Mathematic Geology and Remote Sensing Geology,China University of Geosciences,Wuhan 430074;2.State Key Laboratory of Geological Processes and Mineral Resources,Wuhan 430074;3.College of Environmental Science and Engineering,Nanjing University of Information Science & Technology,Nanjing 210044,China);Extracting Information from ETM+ Image Using C5.0 Decision Tree Algorithm[J];Geography and Geo-Information Science;2007-06
9 LAI Zhi bin, XIA Shu dong, CHENG Ji cheng (RS and GIS Institute Of PeKing University, Beijing 100871, China);Application Model Research of High Resolution Remote Sensing Data In Urban Environmental Evaluation[J];Progress In Geography;2000-04
10 LI Yayun1,2,YANG Xiuchun3,ZHU Xiaohua1, XU Bin3 (1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3. Institute of Agricultural Resources and Regional Planning, CAAS, Beijing 100081, China);The Application of Remote Sensing Technology to Land Desertification Monitoring[J];Progress in Geography;2009-01
【Secondary References】
Chinese Journal Full-text Database 8 Hits
1 LI Guang-shui et al(College of Forest Resources and Environment,Nanjing Forestry University,Nanjing,Jiangsu 210037);Research on the Application and Development of Data Analysis in Forestry Resources Survey[J];Journal of Anhui Agricultural Sciences;2009-22
2 LI Hui1,2,WANG Yunpeng1,LI Yan2,WANG Xingfang1,2 1.Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,China;2.Computer School,South China Normal University,Guangzhou 510630,China;Unmixing of Remote Sensing Images Based on Support Vector Machines and Pairwise Coupling[J];Acta Geodaetica et Cartographica Sinica;2009-04
3 CHEN Wei,YU Xu-chu,LIU Wei,YANG Guo-peng(Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China);An unsupervised and fast method of endmembers extraction[J];Science of Surveying and Mapping;2009-05
4 HUANG Xin,LI Ping-xiang,ZHANG Liang-pei(National Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China);Multilevel shape feature extraction and fusion for classification of urban hyperspectral imagery[J];Science of Surveying and Mapping;2009-06
5 LIU Wei,YANG Tian-ke,ZHENG Ming-qing,ZHAO Bao-qiang(Xi'an Information Technology Station of Surveying and Mapping,Xi'an 710054,China);Qualitative spectrum feature matching based on the theory of scale space[J];Science of Surveying and Mapping;2010-01
6 BAI Mu,LIU Hui-ping,QIAO Yu,WANG Xiao-dong(School of Geography,Beijing Normal University,Beijing 100875,China);New Progress in the Classification of High Spatial Resolution Satellite Images for LUCC[J];Remote Sensing for Land & Resources;2010-01
7 JI Na1,2,LI Rui1,3,LI Jing4(1.College of Resources and Environment,Northwest A & F University,Yangling,Shaanxi 712100,China;2.Yangling Vocational and Technical College,Yangling,Shaanxi 712100,China;3.Institute of Soil and Water Conservation,Chinese Academy of Sciences and Ministry of Water Resources, Yangling,Shaanxi 712100,China;4.Engineering College of Armed Police Force,Xi'an,Shaanxi 710086,China);Application of MNF and SVM in Classificationof Remote Sensed Image[J];Bulletin of Soil and Water Conservation;2009-06
8 LI Hui1,2,WANG Yun-Peng1,LI Yan2,WANG Xing-fang1,2(1.Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,China;2.Computer School,South China Normal University,Guangzhou 510630,China);Unmixing Remote Sensing Imagery Based on Morphology and Support Vector Machines[J];Remote Sensing Technology and Application;2009-01
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