简介：ＳｔｕｄｙｏｎｅｌｅｃｔｒｉｃｖａｒｉａｔｉｏｎｓｏｆｍｅｄｉａｉｎｅｐｉｃｅｎｔｒａｌａｒｅａｂｙｇｅｏｍａｇｎｅｔｉｃｒａｎｓｆｅｒｆｕｎｃｔｉｏｎｓＸｉａｏ－ＰｉｎｇＺＥＮＧ；（曾小苹）Ｙｕｎ－ＦａｎｇＬＩＮＩ；（林云芳）Ｚｈｏｎｇ－ＪｉｅＺＨ...

简介：ＴｈｅａｎｏｍａｌｏｕｓｒｅａｃｔｉｏｎｓｏｆｔｈｅｇｅｏｍａｇｎｅｔｉｃｈｏｒｉｚｏｎｔａｌｆｉｅｌｄｔｒａｎｓｆｅｒｆｕｎｃｔｉｏｎｓｂｅｆｏｒｅＴａｎｇｓｈａｎｅａｒｔｈｑｕａｋｅＳＨＡＯＪＩＮＧＧＯＮＧ（龚绍京）ＨＵＡＲＡＮＣＨＥＮ（...

简介：Alargenumberofdebrisflowdisasters(calledSeismicdebrisflows)wouldoccurafteranearthquake,whichcancauseagreatamountofdamage.UAVlow-altituderemotesensingtechnologyhasbecomeameansofquicklyobtainingdisasterinformationasithastheadvantageofconvenienceandtimeliness,butthespectralinformationoftheimageissoscarce,makingitdifficulttoaccuratelydetecttheinformationofearthquakedebrisflowdisasters.Basedontheaboveproblems,aseismicdebrisflowdetectionmethodbasedontransferlearning(TL)mechanismisproposed.Onthebasisoftheconstructedseismicdebrisflowdisasterdatabase,thefeaturesacquiredfromthetrainingoftheconvolutionalneuralnetwork(CNN)aretransferredtothedisasterinformationdetectionoftheseismicdebrisflow.Theautomaticdetectionofearthquakedebrisflowdisasterinformationisthencompleted,andtheresultsofobject-orientedseismicdebrisflowdisasterinformationdetectionarecomparedandanalyzedwiththedetectionresultssupportedbytransferlearning.