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1、ISSN1673-9418CODENJKYTA8E-mail:fcst@public2.bta.net.cnJournalofFrontiersofComputerScienceandTechnologyhttp://www.ceaj.org1673-9418/2010/04(05)-0464-09Tel:+86-10-51616056DOI:10.3778/j.issn.1673-9418.2010.05.009*多策略结合的高光谱图像波段选择新方法11+21吴昊,李士进,林林,万定生1.河海大学计
2、算机及信息工程学院,南京2100982.中国水利水电科学研究院信息网络中心,北京100038Multiple-strategyCombinationBasedApproachtoBandSelectionforHyper-*spectralImageClassification11+21WUHao,LIShijin,LINLin,WANDingsheng1.SchoolofComputerandInformationEngineering,HohaiUniversity,Nanjing210098,C
3、hina2.NetworkInformationCenter,InstituteofWaterResourcesandHydropowerResearch,Beijing100038,China+Correspondingauthor:E-mail:lishijin@hhu.edu.cnWUHao,LIShijin,LINLin,etal.Multiple-strategycombinationbasedapproachtobandselectionforhy-perspectralimageclas
4、sification.JournalofFrontiersofComputerScienceandTechnology,2010,4(5):464-472.Abstract:Withthedevelopmentandpopularizationoftheremote-sensingimagingtechnology,therearemoreandmoreapplicationsofhyperspectralimageclassificationtasks,suchastargetdetectionan
5、dlandcoverinvestigation.Itisaverychallengingissueofurgentimportancethathowtoselectaminimalandeffectivesubsetfrommassofbands.Anovelbandselectionstrategyisputforwardbasedonconditionalmutualinformationbetweenadjacentbandsandbranchandboundalgorithmforthehig
6、hcorrelationbetweenthebands.Inaddition,geneticalgorithmandsupportvectormachineareemployedtosearchforthebestbandcombination.Experimentalresultsshowthattheproposedapproachisverycompetitiveandrobust.Keywords:hyperspectralremotesensing;bandselection;conditi
7、onalmutualinformation;adaptivebranchandboundalgorithm;supportvectormachine;geneticalgorithm*TheNationalNaturalScienceFoundationofChinaunderGrantNo.60673141(国家自然科学基金);theKeyProjectsintheNa-tionalScienceandTechnologyPillarProgramduringtheEleventhFive-year
8、PlanPeriodofChinaunderGrantNo.2006BAB04A13(国家“十一五”科技支撑计划重大项目).Received2009-11,Accepted2010-01.吴昊等：多策略结合的高光谱图像波段选择新方法465摘要:随着遥感成像技术的发展,高光谱图像的应用需求日益广泛。如何从多达数百个的波段中挑选出具有较好识别能力的波段组合成了亟待解决的问题。根据高光谱图像各波段间相关性高的特点,提出了基于条件互信息与自适应分支定界法相结合的
