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《Journal of Optoelectronics.Laser》 2008-08
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Sub-pixel analysis based on Bayesian network

Li Xi1,GUAN Ze-qun1,SHEN Ti-yan2(1.School of Remote Sensing and Information Engineering,Wuhan University,Wuhan,430079 China;2.School of Government,Peking University,Beijing 100871,China)  
A sub-pixel analysis algorithm using Bayesian network was proposed to deal with images with insufficient spectral information.Firstly,spectra of components in a pixel are regarded as random variables,and then a Bayesian network is built to represent the relationship between abundances of components and spectra of the pixel.By using Bayesian inference,the joint distribution of the abundances was calculated.Finally,by employing Monte Carlo integration,the abundances are estimated unbiasedly.The simulation and real experiments results show that this algorithm is more capable than FCLS(fully constrained least square) algorithm when the image lacks sufficient spectral information.
【Fund】: 北京大学为新研究基金资助项目(W08SD04)
【CateGory Index】: TP701
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【References】
Chinese Journal Full-text Database 2 Hits
1 WANG Li-guo,ZHANG Jing(College of Information and Communications Engineering,Harbin Engineering University,Harbin 150001,China);An improved spectral unmixing modeling based on linear spectral mixing modeling[J];Journal of Optoelectronics.Laser;2010-08
2 TAO Jianbin1 SHU Ning1 GONG Yan1 SHEN Zhaoqing1(1 School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China);An Instructed Unsupervised Classification Method for Remote Sensing Image Based on Gaussian Mixture Model[J];Geomatics and Information Science of Wuhan University;2010-06
【Co-references】
Chinese Journal Full-text Database 3 Hits
1 Gu Songgang Shi Peijun (Institute of Resources Science, Beijing Normal University; Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education: 100875, Beijing, China);ESTIMATION OF SEA ICE RESOURCES IN LIAODONG BAY ON DECOMPOSING MIXED PIXELS[J];Journal of Beijing Normal University(Natural Science);2004-03
2 YU Peng~(1,2) FENG Jufu~(3) TONG Xingwei~4(1 School of Mathematical Sciences,Peking University,Haidian District, Beijing 100871,China)(2 National Geomatics Center of China,1 Zizhuyuan Road,Beijing 100044,China) (3 Center for Information Science,Peking University,Haidian District,Beijing 100871,China)(4 School of Mathematical Sciences,Beijing Normal University,19 Xinjiekouwai Street, Beijing 100875,China);A New Textured Image Segmentation Algorithm Based on Gaussian Mixture Models[J];Editorial Board of Geomatics and Information Science of Wuhan University;2005-06
3 XU Honggen1 MA Hongchao1 SONG Yan1 JIA Xiaoxia2(1 School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(2 Wuhan Geotechnical Engineering and Surveying Institute,209 Wansongyuan Road,Wuhan 430022,China);A Remote Sensing Image Classification Method Based on Generalized Gaussian Mixture Model[J];Geomatics and Information Science of Wuhan University;2008-09
【Secondary References】
Chinese Journal Full-text Database 2 Hits
1 LIU Li-feng1,XIAO Sha-li1,WU Yu-fen1,LIU Shen-ye2,WEI Min-xi2,CHEN Bo-lun2,QIAN Jia-yu1(1.Key Laboratory of Optoelectronic Technology and System,Ministry of Education,ChongqingUniversity,Chongqing 400030,China;2.Research Center of Laser Fusion,CAEP,Mianyang 621900,China);Application of spherical bent crystal analyzer in X-ray plasma diagnosis[J];Journal of Optoelectronics.Laser;2011-05
2 WU Ze-bin,WEI Zhi-hui,SUN Le,LIU Jian-jun(School of Computer Science and Technology,NUST,Nanjing 210094,China);Hyperspectral Unmixing Based on Iterative Weighted L1 Regularization[J];Journal of Nanjing University of Science and Technology;2011-04
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