A Layered Cross Correlation Back-Projection Algorithm Based on Ray-Theory for Electromagnetic Imaging in Stratified Medium

IF 8.6 1区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2025-02-18 DOI:10.1109/TGRS.2025.3543407
Tian Lan;Jingbo Wang;Jiancheng Liao;Junbo Gong;Xiaopeng Yang
{"title":"A Layered Cross Correlation Back-Projection Algorithm Based on Ray-Theory for Electromagnetic Imaging in Stratified Medium","authors":"Tian Lan;Jingbo Wang;Jiancheng Liao;Junbo Gong;Xiaopeng Yang","doi":"10.1109/TGRS.2025.3543407","DOIUrl":null,"url":null,"abstract":"In this article, we present a layered cross correlation back-projection (LCBP) method based on ray-theory for electromagnetic (EM) imaging in stratified medium. To argue the challenge of resolving time delay in the stratified medium in traditional time-domain methods, we first construct a ray propagation model, then calculate the time delay at any point on the path and solve the sparse time delay at the deep position by linear interpolation, Finally, a clutter suppression method is used to reduce interference through the cross correlation of signals between different subapertures. LCBP achieves fast imaging in a stratified medium environment whereas retaining the advantages of the BP algorithm in the focusing ability. In order to verify the performance of the proposed method, the simulation and experimental data are carried out with comparisons of the phase shift migration (PSM) imaging method and layered range migration (LRM), and the proposed method exhibits excellent imaging quality.","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"63 ","pages":"1-10"},"PeriodicalIF":8.6000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Geoscience and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10891836/","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

In this article, we present a layered cross correlation back-projection (LCBP) method based on ray-theory for electromagnetic (EM) imaging in stratified medium. To argue the challenge of resolving time delay in the stratified medium in traditional time-domain methods, we first construct a ray propagation model, then calculate the time delay at any point on the path and solve the sparse time delay at the deep position by linear interpolation, Finally, a clutter suppression method is used to reduce interference through the cross correlation of signals between different subapertures. LCBP achieves fast imaging in a stratified medium environment whereas retaining the advantages of the BP algorithm in the focusing ability. In order to verify the performance of the proposed method, the simulation and experimental data are carried out with comparisons of the phase shift migration (PSM) imaging method and layered range migration (LRM), and the proposed method exhibits excellent imaging quality.
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
一种基于射线理论的分层电磁成像反投影算法
本文提出了一种基于射线理论的分层互相关反投影(LCBP)方法,用于分层介质的电磁成像。为了解决传统时域方法在分层介质中求解时延的难题,首先建立射线传播模型,然后计算路径上任意点的时延,并通过线性插值求解深度处的稀疏时延,最后采用杂波抑制方法,通过不同子孔径之间信号的互相关来减少干扰。LCBP在保留BP算法在聚焦能力方面的优势的同时,实现了分层介质环境下的快速成像。为了验证所提方法的性能,将相移偏移(PSM)成像方法与分层距离偏移(LRM)成像方法进行了仿真和实验数据对比,结果表明所提方法具有良好的成像质量。
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
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing 工程技术-地球化学与地球物理
CiteScore
11.50
自引率
28.00%
发文量
1912
审稿时长
4.0 months
期刊介绍: IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
期刊最新文献
Occlusion-Resistant Object Detection for Dual-View Airborne Platforms A Novel Real-Time Method for 3D Localization and Magnetic Moment Estimation of Multiple Targets MDCA-Net: Remote sensing image classification based on multi-scale dynamic convolution and attention enhancement PI-SAM: Physics-Informed Segment Anything for Infrared Small Target Detection Source-Driven Global-Local Prototype Contrastive Learning for Hyperspectral Domain Adaptation
×
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:604180095
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