多尺度分割原理与应用

HierarchicalSegmentation，ReadingReport，HSeg，内容，PARTONE，AbouttheIntroduction .Abstract，recentadvancesinsspectral-saptialicationofhyperspecitalimeimaresetidentisparespartiversethispareverthinquerationdf ectralinfo eimportingceofspectral-spatitialstratieeforhatcallicationofhyperspecralimimagemidandv introduction， introduction advantagesofhyperspectralremotesenrtechnology 3360 theditaledespectricalifinitioncrearresesheposititilitionforaction ST.thefinesspatialresolutionofthessensernablesthehenalysissalspatiltrucesintheimage.manyparationalmigingsystem galrgeamounto capplications .but italsobringssomeproblem : thecurresofdimentityandthenespeciticspectrralspatial classifiers .PS:维灾害(Cu 次元灾害可以在很多学科相遇。 例如，动态计划、模式识别、影像识别等。Introduction、 thecurseofdimentityofhypersperatralremoresensortechnnology 3360 in高尺寸空间normallydistributeddatahaveatendencyto hichseestobecontradictorywithitsbell-shapeddensityfunction.therateofconvergencefthetaticalitiondecectreaseswhenthedimensiong berofparameterstoestimateincrementases，makingthehestimitionofthemodelparametersverdifficult.withalimitedtrainingset， beyondacertainlimit thecissicationaccationacturacturaldecereessasthenumberofiffeatureses .Introduction，howtobuibuilda svmsperformperfornonlinearpixels-wiscessificationbedonthefulllespectralinformationwhissobuttthespectr icalclassifirbasedonma modeling.notethatrecentlyadaptivemrfhavebeenintroductedinretesensing.useadvanceddmphologicalfiletasanaltrantivewayofperformi PS:鲁棒性(Robust):即系统的稳健性是系统在异常和危险的情况下生存的密钥。 Introduction，PARTTWO，TheHsegSegmentation .TheHsegSegmentation， theshegeglgorithmisasegmenttechniquecombinatingregioningrowing usingthehierarchicalstepwisesoptimization (hswo ) method， whichpproductudesspatialloyconnectedregrions，withunsupervisedclassification， thatgroupstogethersmilarspatialloydisjointregions.thealgorithmcanbesummarizedasollows . initial ization : initionizesemanationbysissignegranchpixlelaregionlabel.ifpresemanationisprovidered， labeleachpixlelaccordingry.otherwise labeleachpixlelasaseplarateregion .TheHsegSegmentation，I，II，III，IV， calvertetheddissimilrityritionvalthebetwenalpairsofspatialyadjacentreses，stopifconvergeneisachieved.otherwise， return to stepi mergeespatiallynonadjcentrgions，mergeespatiallayadjcentrgions，TheHsegSegmentation，I是向量模型或区域平均向量间的频谱角度的普SAM是一种基于物理谱分类并利用n维角度来匹配两组像素谱并将所述谱视为维与带数相等的空间中的向量来计算谱间的角度的算法，所述算法意味着两个谱间的相似性，即两个向量间的广义这个方法运用了频谱维度的信息。 另外，TheHsegSegmentation，II找到最小的差