基于敏感特征向量的SAR图像灾害变化检测技术.pdfVIP

compHterEn酉neering∞dApplicntionS请蕈襁．1箍与霞凫 基于敏感特征向量的SAR图像灾害变化检测技术 李坤1，杨然’，王雷光2，林立字1，秦前清1 LI K-unl，YANGR锄1，wANG Leiguan岔，LINLiyul，QINQianqin91 1．武汉大学测绘遥感信息工程国家重点实验室，武汉430079 2．西南林业大学资环学院，昆明650224 1．S协te ofhlf01fIIlation m R锄0te l(对Mboratory En曲teemgsllrveyh喧，Mappir蟮and se∞ing，Wllhan 2．SchoolofEnv的nmcntaIscience锄d Enginec渤g，soutIlwestFores仃yunivers咄K吼IIling650224，Chim LI aI．Sensitivefeatll他v∞tor-basedmsaster SAR Kun，YANGRan，WANG detection Leiguang，et change using images．Com· and puterEngineeringAppIications，2012，48(3)：24·28． Abs仃act：InordertooVercomeme limitcd badweatller pmbl锄oftheapplicationofoptical condition，tllisanalyz· imagedllring paper 髂tlle ofSAR featIlresandtextllrefeaturcsf．0rmefollrl她d debris sensitiVity cover of image鲫y changes(1ake，l锄dsIidenowpart serious tllenan腿I f-on)l，ardthe ofs∞si— coll印sedbuildings锄d dis嬲ters，柏d colIapsedbuildings)whichusuallyh印p％iIl put conc印t tiVe sensitiVefeatureVector utilization whichis oftIle scaledifrerenceandtextllredi行勰nce fe姗Vector．Taking comprehensiVe gray 弱evalu砒ion newdis鹊ter detectionInethodofsAR iscarried on坩o f．actor’a image 0ut，觚d ofALOSsAR ch狮ge veri黟ing groups ttle tllantlle be妣r me出od