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4 : 249 RecognitionandClassificationforRemoteSensingImage BasedonDepthBeliefNetwork XuLikun 1,LiuXiaodong 2,XiangXiaocui 2 (1.MapInstituteofHubeiProvince,Wuhan430074,China; (2.WuhanOpticsValeyBeiDouGeo-spatialInformationIndustryCo.,Ltd.,Wuhan430206,China) tion. Keywords:remotesensingimage;depthbeliefnetwork;limitedBoltzmannmachine; classificationmethod 檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪 ( 227 ) ApplicationofGeomagneticLoad-UnloadResponse RatioMethodinNorth-SouthSeismicBelt DaiMiao 1,2,FengZhisheng 3,LiuJian 1,LiDeqian 1,2,WeiGuichun 1,2,ShenXuelin 1,2 (1.KeyLaboratoryofEarthquakeGeodesy,InstituteofSeismology, ChinaEarthquakeAdministration,Wuhan430071,China; 2.EarthquakeAdministrationofHubeiProvince,Wuhan430071,China; 3.EarthquakeAdministrationofJiangsuProvince,Nanjing210014,China) Abstract:High-resolutionremotesensingimageshavehigh-dimensional,multi-scale,non-stationaryinter- nalcharacteristicsandmassive,multi-sourceandheterogeneousexternalfeatures,andproviderichspatial information.thispaperexplorestheinteligentextractionandclassificationofhigh-resolutionremote sensingimagesusingtheemergingdepthbeliefnetwork.withalargenumberofexperimentalcomparisons ofboththeclassificationaccuracyandkappacoeficient,andthefurtherparametersensitivityanalysis,the paperobtainstheoptimalsetingschemeforparameters,suchasthenumberofnetworklayers,thenum- berofhiddenlayerneuronsandthenumberofiterations.comparedwiththetraditionalshalownetwork classifier,theimproveddepthofthebeliefnetworkcanbeterfittheintrinsicstructureofthesample,and theaccuracyoftheremotesensingimageclassificationisabout92%,whichisveryefectiveinclassifica- Abstract:Electromagneticpropertieschangeindielectricconductivity duetostresschangesbeforethe earthquakemaycausethecorrespondingchangesinphaseandamplitudeofregionalverticalmagneticfield diurnalvariationcurve,andhencegeomagneticload-unloadresponseratiosanefectivemethodforidentifi- cationofabnormalamplitude.thispapercalculatesgeomagneticload-unloadresponseratiosbefore18sig- nificantearthquakesinthenorth-southseismicbelt,analyzesthegeomagneticload-unloadresponseration spatialdistributioncharacteristicsandtheformation mechanism beforeearthquakes.theresultsindicate that:1intheexclusionofspaceweather,surroundingenvironmentinstrumentandmonitoringsystemand otherfactors,geomagneticload-unloadresponseratioabnormalappearrbeforesomestrongearthquakes,ac- countingfor44.4%.2geomagneticload-unloadresponseratiothresholdisafectedbylatitude,andinthe conditionofthesamelongitude,thegreaterthelatitude,thelowerthethreshold.afterrepeateddebug- gingandcontrast,thecalculationresultsshowthattheresponseratiothresholdofthenorth-southseismic beltinthenorthernsectionis3,andthatofsouthandsouthwestregionsis3.1.3ingeneral,abnormal within6 monthsaftertheoccurrenceofmoderateearthquakes,thebiggerthenumberofabnormalsta- tions,thegreaterthemagnitudeofstrongearthquakes.theepicenterismorelikelytobelocatednearthe thresholdline. Keywords:geomagneticload-unloadresponseratio;dailyvariationamplitude;abnormityindex;earthquake prediction;north-southseismicbelt