{"title":"基于阴影轮廓的SAR目标自动识别","authors":"Yin Kuiying, Jin Lin, Zhang Changchun, Jiang Jin","doi":"10.1109/ICDMA.2013.279","DOIUrl":null,"url":null,"abstract":"Due to special imaging mechanism, shadow contour of SAR image is not as clear as that of optical image. Aiming at target recognition, this paper presents a SAR image segmentation method based on Partial Differential De-noising and Marker-Controlled, and carries out automatic target recognition on result of image segmentation. Experimental results show that, using the method of this paper, segmentation result of SAR image can classify target effectively.","PeriodicalId":403312,"journal":{"name":"2013 Fourth International Conference on Digital Manufacturing & Automation","volume":"11 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"SAR Automatic Target Recognition Based on Shadow Contour\",\"authors\":\"Yin Kuiying, Jin Lin, Zhang Changchun, Jiang Jin\",\"doi\":\"10.1109/ICDMA.2013.279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to special imaging mechanism, shadow contour of SAR image is not as clear as that of optical image. Aiming at target recognition, this paper presents a SAR image segmentation method based on Partial Differential De-noising and Marker-Controlled, and carries out automatic target recognition on result of image segmentation. Experimental results show that, using the method of this paper, segmentation result of SAR image can classify target effectively.\",\"PeriodicalId\":403312,\"journal\":{\"name\":\"2013 Fourth International Conference on Digital Manufacturing & Automation\",\"volume\":\"11 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on Digital Manufacturing & Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDMA.2013.279\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Digital Manufacturing & Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMA.2013.279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SAR Automatic Target Recognition Based on Shadow Contour
Due to special imaging mechanism, shadow contour of SAR image is not as clear as that of optical image. Aiming at target recognition, this paper presents a SAR image segmentation method based on Partial Differential De-noising and Marker-Controlled, and carries out automatic target recognition on result of image segmentation. Experimental results show that, using the method of this paper, segmentation result of SAR image can classify target effectively.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
