Radiometric and Polarimetric Quality Validation of Gaofen-3 over a Five-Year Operation Period

Remote. Sens. Pub Date : 2023-03-15 DOI:10.3390/rs15061605
Le Yang, Lei Shi, Weidong Sun, Jie Yang, Pingxiang Li, Deren Li, Shanwei Liu, Lingli Zhao
{"title":"Radiometric and Polarimetric Quality Validation of Gaofen-3 over a Five-Year Operation Period","authors":"Le Yang, Lei Shi, Weidong Sun, Jie Yang, Pingxiang Li, Deren Li, Shanwei Liu, Lingli Zhao","doi":"10.3390/rs15061605","DOIUrl":null,"url":null,"abstract":"GaoFen-3 was the first Chinese civilian C-band synthetic aperture radar (SAR) satellite, launched in August 2016. The need for monitoring the satellite’s image quality has been boosted by its widespread applications in various fields. The efficient and scientific assessment of the system’s radiometric and polarimetric performance has been essential in its more than five years of service. The authors collected 90 images of the Inner Mongolia calibration site, 888 images of the Amazon rainforest, and 39,929 images of the Chinese mainland from 2017 to 2021. This was achieved whilst covering the leading imaging modes, such as the spotlight mode, stripmap mode, ultra-fine mode, wave imaging mode, etc. In this study, we derive a framework that incorporates the man-made corner reflectors (CRs) in Mongolia, the traditional Amazon rainforest datasets, and even the long-strip data in the Chinese mainland (known as CRAS) for the purposes of GaoFen-3 radiometric quality analysis and polarimetric validation over its five years of operation. Polarimetric calibration without recourse to the CRs is utilized to measure the polarimetric distortions regardless of the region, and thus requires a higher calibration accuracy for the GaoFen-3 polarimetric monitoring task. Consequently, the modified Quegan method is developed by relaxing the target azimuth symmetry constraint with the Amazon forest datasets. The experiments based on the CRAS demonstrate that the main radiometric characteristics could reach the international level, with an estimated noise-equivalent sigma zero of approximately −30 dB, a radiometric resolution that is better than 2.9 dB, and a single-imagery relative radiation accuracy that is better than 0.51 dB. For polarimetric validation, the modified Quegan method was utilized to measure the crosstalk for quad-pol products to ensure that it was than −40 dB. Meanwhile, non-negligible channel imbalance errors were found in the QPSII and WAV modes, and they were effectively well-calibrated with strip estimators to satisfy the system design.","PeriodicalId":20944,"journal":{"name":"Remote. Sens.","volume":"141 1","pages":"1605"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote. Sens.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/rs15061605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

GaoFen-3 was the first Chinese civilian C-band synthetic aperture radar (SAR) satellite, launched in August 2016. The need for monitoring the satellite’s image quality has been boosted by its widespread applications in various fields. The efficient and scientific assessment of the system’s radiometric and polarimetric performance has been essential in its more than five years of service. The authors collected 90 images of the Inner Mongolia calibration site, 888 images of the Amazon rainforest, and 39,929 images of the Chinese mainland from 2017 to 2021. This was achieved whilst covering the leading imaging modes, such as the spotlight mode, stripmap mode, ultra-fine mode, wave imaging mode, etc. In this study, we derive a framework that incorporates the man-made corner reflectors (CRs) in Mongolia, the traditional Amazon rainforest datasets, and even the long-strip data in the Chinese mainland (known as CRAS) for the purposes of GaoFen-3 radiometric quality analysis and polarimetric validation over its five years of operation. Polarimetric calibration without recourse to the CRs is utilized to measure the polarimetric distortions regardless of the region, and thus requires a higher calibration accuracy for the GaoFen-3 polarimetric monitoring task. Consequently, the modified Quegan method is developed by relaxing the target azimuth symmetry constraint with the Amazon forest datasets. The experiments based on the CRAS demonstrate that the main radiometric characteristics could reach the international level, with an estimated noise-equivalent sigma zero of approximately −30 dB, a radiometric resolution that is better than 2.9 dB, and a single-imagery relative radiation accuracy that is better than 0.51 dB. For polarimetric validation, the modified Quegan method was utilized to measure the crosstalk for quad-pol products to ensure that it was than −40 dB. Meanwhile, non-negligible channel imbalance errors were found in the QPSII and WAV modes, and they were effectively well-calibrated with strip estimators to satisfy the system design.
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
高分三号5年运行期辐射偏振质量验证
高分三号是中国第一颗民用c波段合成孔径雷达(SAR)卫星,于2016年8月发射。由于卫星在各个领域的广泛应用,对卫星图像质量监测的需求不断增加。有效和科学地评估系统的辐射和偏振性能在其五年多的服务中是至关重要的。作者从2017年至2021年收集了内蒙古校准站点的90幅图像,亚马逊雨林的888幅图像和中国大陆的39,929幅图像。这是在覆盖主要成像模式的同时实现的,如聚光灯模式、条带模式、超精细模式、波成像模式等。在这项研究中,我们推导了一个框架,该框架结合了蒙古的人造角反射器(CRs),传统的亚马逊雨林数据集,甚至是中国大陆的长条数据(称为CRAS),用于高分三号在其五年的运行中进行辐射质量分析和偏振验证。不依赖CRs的偏振定标用于测量不同区域的偏振畸变,因此对高分三号偏振监测任务的定标精度要求更高。因此,通过放宽亚马逊森林数据集的目标方位对称约束,提出了改进的Quegan方法。基于CRAS的实验表明,该系统的主要辐射特性达到国际水平,估计噪声等效西格玛零约为- 30 dB,辐射分辨率优于2.9 dB,单图像相对辐射精度优于0.51 dB。为了进行偏振验证,使用改进的Quegan方法测量四极池产品的串扰,确保其小于- 40 dB。同时,在QPSII和WAV模式下发现了不可忽略的信道不平衡误差,并使用条形估计器对其进行了有效校准,以满足系统设计要求。
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
自引率
0.00%
发文量
0
期刊最新文献
Influences of Different Factors on Gravity Wave Activity in the Lower Stratosphere of the Indian Region Estimating Sugarcane Aboveground Biomass and Carbon Stock Using the Combined Time Series of Sentinel Data with Machine Learning Algorithms Dynamic Screening Strategy Based on Feature Graphs for UAV Object and Group Re-Identification The Expanding of Proglacial Lake Amplified the Frontal Ablation of Jiongpu Co Glacier since 1985 Investigation of Light-Scattering Properties of Non-Spherical Sea Salt Aerosol Particles at Varying Levels of Relative Humidity
×
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