利用人工智能神经网络和DEM数据进行植被变化探测

论文第52卷增刊Ⅱ2007年11月*R.R.DeWulf(,650091;LaboratoryofForestManagementandSpatialInformation,BioengineeringFaculty,GhentUniversity,Ghent9000,Belgium.*,E-mail:[e-mail]).(20032004).DEM“”.,82,36,46.NDVI,.,.DEM8,.,,,.DEMNDVI2007-01-02收稿,2007-04-27接受中国国家重点基础研究发展计划项目(编号:2003CB415102)和比利时弗莱芒省大学联合会项目(VlaamseInteruniversitaireRaad,VLIR)(号:VLIRZEIN2002PR264-886),[1~4].[5]..70,/[6~10].Lu[10]7:(algebra)(transformation)(classification)(advancedmodels)(Geographicalinformationsystemapproaches)(visualanalysis).[11]:(1)(Changemaskdevelopment,CMD):,;(2)(Categoricalchangeextraction,CCE):/.,,,.,,,.,(Artificialneu-ralnetworks,ANN).ANN[11~14][15][16][17].ANN.ANN,[11].ANN,,[18].ANN,.,,,第52卷增刊Ⅱ2007年11月论文202(1),22°00′~23°50′00″100°00′12″~102°00′,50000hm2,.,14.,,16.4~22.0.51080%,114.1200mm,1500m1900mm.,.1.2().Landsat(path/row:130/45),1:100000,20mDEM,GPS.200337(ETM+),200431(TM).UTM(Universaltransversemercator,UTM),47°,WGS84.DEM(GaussKruger),5480.UTM,47°,WGS84.(15m).().LandsatTMETM+.,,10(1).().(20043),492GPS,.,,.5060,,,,,.1论文第52卷增刊Ⅱ2007年11月第52卷增刊Ⅱ2007年11月论文204“”“”;“”“”,[19].200348,200446.:(trainingdata)(testdata)(validationdata).ANN..10(1).,NDVI.,36(2).,.,3,,251,58,62,6982.282,1~46.ANN82,8224(3).1.3()NDVI..Lyon[20]73MSS,NDVI.NDVI,GPS(2).().,,,[6].ANN.,(mask).81(99).,,,,24(3).()ANN.ANN.ANN3:(hiddenlayer),[21](2).ANN,ANN,ANN[22,23].ANN.ANN(),20032004232003~2004a)123456789101112ORT-ORTYRT-YRTEF-EFLDF-LDFDF-DFWT-WTAL-ALSGL-SGLBL-SGLLDF-ALEF-ALLDF-BL131415161718192021222324SGL-BLDF-BLLDF-SGLBL-LDFEF-BLSGL-ALYRT-ALEF-SGLORT-ALBL-ALYRT-ORTBL-BLa)ORT-ORT:,YRT-YRT:,EF-EF:,LDF-LDF:,DF-DF:,WT-WT:,AL-AL:,SGL-SGL:,BL-BL:,BL-SGL:,LDF-AL:,EF-AL:,LDF-BL:,SGL-BL:,DF-BL:,LDF-SGL:,BL-LDF:,EF-BL:,SGL-AL:,YRT-AL:,EF-SGL:,ORT-AL:,BL-AL:,YRT-ORT:论文第52卷增刊Ⅱ2007年11月“”;(82);20,sigmoid,0.001,(momentumparameter)0.2.ANN8224(3).(Principalcomponentanalysis,PCA),,ANN[24].PCA,ANN[25].PCA148,DEM10,.DEMANN,PCA8,,ANN.ANN().1.4[10]./[26].[27],,22,.22.120032004(34).,,4,“”“”“”“”.5ANN,,1,65.04%;Kappa0.6094,ANN;8PCADEM(3),,78.42%,Kappa0.7552,PCA1%.32003~2004第52卷增刊Ⅱ2007年11月论文206~2004a)20032004ORTYRTEFLDFDFWTALSGLBL()ORT1262673653824574192649721314198391954414261547YRT663933329856390863849151372345812038210141314439918199EF3433288293161420134630108126454316851838047093481820LDF68201744633414947088957982356625299728266291054082DF224134653813189033974308085467233074195934508604747WT99914292713185826369036941715119756840AL5098635611884669893293881149156484414354513689920355SGL136623898337361270442409729011069623210411496564727BL178618772261925142043187992158905178916506226534()264574549481379764295494377778463019951046656775735878088851a)1,5(n=97079)Kappa(n=97079)1817,DEM65.06%0.6096281247,DEM72.94%0.69213ANN82,248PCA,DEM78.42%0.75524ANN82,248PCA75.49%0.72155ANN2414,DEM76.37%0.73126ANN82,2414,DEM77.29%0.742a)n43,ANN(234).,DEMANN,24.3,72.94%,8%.4,75.49%,Kappa0.7215,33%.2.2,5,PCA8DEM“”ANN(93.78%,Kappa0.8272).NDVI,80.64%,kappa0.5661.(5).3ANN(5).(81)24,8%,kappa0.09.81,.,(7%)(5).PCA148,,,1%,Kappa0.0132(5).,.,36,论文第52卷增刊Ⅱ2007年11月(5).DEMANN3%.1)DEM.5NDVI.3,.“DFDF”,“ORTORT”(2).67,200320044351).Mappingvegetationinasteepmountainterrainbytrainingvegetationsubclassesandintegratingancillarydata.PhDThesisChapter4,20057122438127503622251981822043734492363097079=93.78%Kappa=0.827210(8PCADEM)ANN56690203658726167592159438353734492363097079=80.64%Kappa=0.5661NDVI58873224461117145762138635962734492363097079=82.67%Kappa=0.60037165684898014517931514116934734492363097079=89.41%Kappa=0.681924第5