Mou Wang, Shunjun Wei, Min Yan, Xiaoling Zhang, Jun Shi
{"title":"Tree Parameters Extraction VIA Ground-based Linear Array SAR 3-D Imaging","authors":"Mou Wang, Shunjun Wei, Min Yan, Xiaoling Zhang, Jun Shi","doi":"10.1109/APSAR46974.2019.9048270","DOIUrl":null,"url":null,"abstract":"This paper addresses an approach to tree parameters extraction by applying ground-based linear array synthetic aperture radar (GB-LASAR) 3-D imaging. For the purpose of tree parameters estimation, an imaging methods joint back-projection algorithm and compressed sensing sparse recovery algorithm are used for GB-LASAR 3-D image formation firstly. Tree parameters including the height and the DBH (Diameter at breast height) are extracted from the 3-D SAR image via the Graham algorithm and the statistical analysis method. And the performances on focusing and tree parameters estimation of the two approaches are discussed. In the end, the effectiveness of the approaches and the estimated tree parameters have been validated against the GB-LASAR experimental data","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSAR46974.2019.9048270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper addresses an approach to tree parameters extraction by applying ground-based linear array synthetic aperture radar (GB-LASAR) 3-D imaging. For the purpose of tree parameters estimation, an imaging methods joint back-projection algorithm and compressed sensing sparse recovery algorithm are used for GB-LASAR 3-D image formation firstly. Tree parameters including the height and the DBH (Diameter at breast height) are extracted from the 3-D SAR image via the Graham algorithm and the statistical analysis method. And the performances on focusing and tree parameters estimation of the two approaches are discussed. In the end, the effectiveness of the approaches and the estimated tree parameters have been validated against the GB-LASAR experimental data