基于阴影轮廓的SAR目标自动识别

2013 Fourth International Conference on Digital Manufacturing & Automation Pub Date : 2013-06-29 DOI:10.1109/ICDMA.2013.279

Yin Kuiying, Jin Lin, Zhang Changchun, Jiang Jin

{"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}

引用次数: 3

摘要

由于特殊的成像机理，SAR图像的阴影轮廓不像光学图像那样清晰。针对目标识别问题，提出了一种基于偏微分去噪和标记控制的SAR图像分割方法，并对图像分割结果进行自动目标识别。实验结果表明，采用本文方法对SAR图像的分割结果能够有效地对目标进行分类。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 Fourth International Conference on Digital Manufacturing & Automation

自引率

0.00%

发文量