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1、inputfeaturesofsupportvectormachineandtraining.Thengettherequiredclassifier.Taketheeffectofsupportvectormachineparametersonvehicledetectionintoconsideration.Wehavetochoosetheparametersofsupportvectormachinereasonably.Finally,thevehicletargetsaredetectedbytheclassifier.Experimentsshowthatthemetho
2、disfeasible.KeyWords：remotesensingimage，vehicledetection，thresholdsegmentation，Hogfeatures，supportvectormachineIII萬(wàn)方數(shù)據(jù)目錄摘要....................................................................................................................................................IABSTRACT.................
3、......................................................................................................................II第一章緒論.......................................................................................................................................11.1研究背景及意義.........................
4、........................................................................................11.1.1研究背景...................................................................................................................11.1.2研究意義.........................................................................
5、..........................................11.2遙感影像車輛目標(biāo)提取現(xiàn)狀..............................................................................................21.3研究方法與內(nèi)容..................................................................................................................41.3.1研究技術(shù)路線.......
6、....................................................................................................41.3.2研究?jī)?nèi)容...................................................................................................................51.4本章小結(jié)...............................................................
7、...............................................................6第二章高分辨率遙感影像灰度化及圖像增強(qiáng)方法......................................................................72.1引言...............................................................
