Analysis of the Dihedral Corner Reflector’s RCS Features in Multi-Resource SAR

Author:

Liu Jie1,Li Tao1ORCID,Ma Sijie1,Wen Yangmao2ORCID,Xu Yanhao2,Nie Guigen1ORCID

Affiliation:

1. Global Navigation Satellite System (GNSS) Research Centre, Wuhan University, Wuhan 430079, China

2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China

Abstract

Artificial corner reflectors are widely used in the vegetated landslide for time series InSAR monitoring due to their permanent scattering features. This paper investigated the RCS features of a novel dihedral CR under multi-resource SAR datasets. An RCS reduction model for the novel dihedral corner reflector has been proposed to evaluate the energy loss caused by the deviation between the SAR incident angle and the CR’s axis. On the Huangtupo slope, Badong county, Hubei province, tens of dihedral CRs had been installed and the TSX–spotlight and Sentinel-TOPS data had been collected. Based on the observation results of CRs with more than ten deviation angles, the proposed reduction model was tested with preferable consistency under a real dataset, while 2 dBsm of systematic bias was verified in those datasets. The maximum incident angle deviation in the Sentinel data overlapping area is over 12°, which leads to a 2.4 dBsm RCS decrease for horizontally placed dihedral CRs estimated by the proposed model, which has also been testified by the observed results. The testing results from the Sentinel data show that in high, vegetation-covered mountain areas like the Huangtupo slope, the dihedral CRs with a 0.4 m slide length can be achieve 1 mm precision accuracy, while a side length of 0.2 m can achieve the same accuracy under TSX–spotlight data.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Reference28 articles.

1. Research progress of high-resolution optical/SAR satellite geometric radiometric calibration;Zhang;Acta Geod. Cartogr. Sin.,2019

2. Analysis and outlook of the operational topographic surveying and mapping capability of the SAR satellites;Li;Acta Geod. Cartogr. Sin.,2021

3. SAR calibration: An overview;Freeman;IEEE Trans. Geosci. Remote Sens.,1992

4. Crustal Deformation Monitoring of Xianshuihe Fault by CR-InSAR;Xu;Geomat. Inf. Sci. Wuhan Univ.,2012

5. Huang, Q., Zhang, F., Li, L., Liu, X., Jiao, Y., Yuan, X., and Li, H. (2023). Quick Quality Assessment and Radiometric Calibration of C-SAR/01 Satellite Using Flexible Automatic Corner Reflector. Remote Sens., 15.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3