AN INVESTIGATION OF THE PERFORMANCES OF POLARIMETRIC TARGET DECOMPOSITIONS USING GB-SAR IMAGING

IF 3.1 Q2 ENGINEERING, GEOLOGICAL International Journal of Engineering and Geosciences Pub Date : 2021-02-01 DOI:10.26833/ijeg.665175
S. Demirci, C. Ozdemir
{"title":"AN INVESTIGATION OF THE PERFORMANCES OF POLARIMETRIC TARGET DECOMPOSITIONS USING GB-SAR IMAGING","authors":"S. Demirci, C. Ozdemir","doi":"10.26833/ijeg.665175","DOIUrl":null,"url":null,"abstract":"Ground-based synthetic aperture radar (GB-SAR) systems are mostly utilized to be practical practices in improved understanding of the complex mechanism of microwave backscattering. They also provide complementary information on evaluating the validity of the polarimetric analysis of air-borne or satellite-borne SAR applications. This study investigates some capabilities of polarimetric L-band GB-SAR imaging by testing its performance against a typical terrain and various kinds of manmade targets. Trihedral corner reflectors are also included in the analyses because of their importance in data calibration. Polarimetric backscattering signatures of different targets are analyzed in terms of qualitative assessment of amplitude images and identification and classification of scattering mechanisms through target decomposition techniques. The findings of these analyses and detailed discussions are presented. Specifically, the entropy/mean-alpha ((H/α )) classification results are shown to be capable of clearly identifying the dominant scattering mechanisms occurring within the investigated scene.","PeriodicalId":42633,"journal":{"name":"International Journal of Engineering and Geosciences","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering and Geosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26833/ijeg.665175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 4

Abstract

Ground-based synthetic aperture radar (GB-SAR) systems are mostly utilized to be practical practices in improved understanding of the complex mechanism of microwave backscattering. They also provide complementary information on evaluating the validity of the polarimetric analysis of air-borne or satellite-borne SAR applications. This study investigates some capabilities of polarimetric L-band GB-SAR imaging by testing its performance against a typical terrain and various kinds of manmade targets. Trihedral corner reflectors are also included in the analyses because of their importance in data calibration. Polarimetric backscattering signatures of different targets are analyzed in terms of qualitative assessment of amplitude images and identification and classification of scattering mechanisms through target decomposition techniques. The findings of these analyses and detailed discussions are presented. Specifically, the entropy/mean-alpha ((H/α )) classification results are shown to be capable of clearly identifying the dominant scattering mechanisms occurring within the investigated scene.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于gb-sar成像的极化目标分解性能研究
地面合成孔径雷达(GB-SAR)系统主要用于提高对微波后向散射复杂机制的理解。它们还提供了关于评估机载或星载SAR应用的极化分析有效性的补充信息。本研究通过测试极化L波段GB-SAR成像在典型地形和各种人造目标下的性能,研究了其成像的一些能力。由于三角角反射器在数据校准中的重要性,分析中也包括了三角角反射器。从振幅图像的定性评估以及通过目标分解技术识别和分类散射机制的角度,分析了不同目标的偏振后向散射特征。介绍了这些分析和详细讨论的结果。具体而言,熵/平均α((H/α))分类结果能够清楚地识别所研究场景中发生的主要散射机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
期刊最新文献
Registration of Interferometric DEM by Deep Artificial Neural Networks Using GPS Control Points’ Coordinates as Network Target Comparative Analysis of Non-Invasive Measurement Methods for Optimizing Architectural Documentation A benchmark dataset for deep learning-based airplane detection: HRPlanes Methodology of real-time 3D point cloud mapping with UAV lidar Proliferation of Dichotomy Urban Settlements Plight: Land Governance And Sustainable Built Environment In Tanzania
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1