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Keywords = full-polarized calibration target

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13 pages, 6448 KB  
Article
Nonlinear Calibration Method for FMG Line-of-Sight Magnetic Field
by Ziyao Hu, Kaifan Ji, Xianyong Bai, Yuanyong Deng, Jiangtao Su, Jingjing Guo, Suo Liu and Xiao Yang
Universe 2025, 11(4), 108; https://doi.org/10.3390/universe11040108 - 24 Mar 2025
Viewed by 668
Abstract
This study is to correct magnetic saturation and wavelength shift in Full-disk Magnetograph (FMG) solar magnetic field measurements on the Advanced Space-based Solar Observatory (ASO-S) satellite. Due to its single-wavelength polarization data limitations, currently, FMG relies on linear calibration. We propose a residual [...] Read more.
This study is to correct magnetic saturation and wavelength shift in Full-disk Magnetograph (FMG) solar magnetic field measurements on the Advanced Space-based Solar Observatory (ASO-S) satellite. Due to its single-wavelength polarization data limitations, currently, FMG relies on linear calibration. We propose a residual network model to output a line-of-sight (LOS) magnetic field which is trained with HMI LOS magnetic fields as target, and FMG Stokes I, V data and LOS velocity components as inputs. Compared to traditional methods, our model achieves lower MAE, RMSE, and improved consistency with the target, while also demonstrating robustness to wavelength shift, offering more accurate magnetic field measurements. Full article
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28 pages, 12706 KB  
Article
Backscattering Statistics of Indoor Full-Polarization Scatterometric and Synthetic Aperture Radar Measurements of a Rice Field
by Xiangchen Liu, Yun Shao, Kun Li, Zhiqu Liu, Long Liu and Xiulai Xiao
Remote Sens. 2023, 15(4), 965; https://doi.org/10.3390/rs15040965 - 9 Feb 2023
Cited by 6 | Viewed by 2571
Abstract
The backscattering coefficient σ0 of a rice field is closely related to the amplitude, power, and phase of its radar backscattered signals. An investigation of the statistics of indoor full-polarization scatterometric and synthetic aperture radar (SAR) measurements on rice fields in the [...] Read more.
The backscattering coefficient σ0 of a rice field is closely related to the amplitude, power, and phase of its radar backscattered signals. An investigation of the statistics of indoor full-polarization scatterometric and synthetic aperture radar (SAR) measurements on rice fields in the Laboratory of Target Microwave Properties (LAMP) is implemented in terms of the amplitude, power, and phase difference of backscattered signals. The validity and accuracy of LAMP measured data are studied and confirmed for the first time. The Rayleigh fading model and phase difference statistical model are both validated by the experimental data. Continuous microwave spectrum is obtained after spatial and frequency averaging over N independent scatterometric samples and full-polarization images are generated by applying a focusing algorithm to the SAR data. Comparisons between scatterometric results and SAR images with three resolutions of rice field scene are conducted with respect to amplitude and co-pol phase difference (CPD) statistics, as well as backscattering coefficients. The results show that the measured statistics of a rice field scene are in good agreement with those calculated by theoretical formulas. Spatial and frequency averaging of scatterometric data can increase N and thus improve the estimation accuracy of the backscattering coefficients. SAR images show a shift to the near range due to the intrinsic height of the rice plants and the probable existence of the double bounce scattering between vertical rice stems and the water surface considering the measurement geometry. The measured amplitude statistics of the SAR images approach a Rayleigh distribution with reduction of the resolution cell size while the size has little effect on the CPD statistics. The differences between backscattering coefficients extracted from the scatterometric data and SAR images confirm a 1-dB calibration accuracy in power of the LAMP measurement system. Full article
(This article belongs to the Topic Radar Signal and Data Processing with Applications)
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19 pages, 3014 KB  
Article
A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration
by Jia Ding, Zhenzhan Wang, Yongqiang Duan, Xiaolin Tong and Hao Lu
Remote Sens. 2021, 13(23), 4888; https://doi.org/10.3390/rs13234888 - 1 Dec 2021
Cited by 3 | Viewed by 3098
Abstract
A digital-correlation full-polarized microwave radiometer is an important passive remote sensor, as it can obtain the amplitude and phase information of an electromagnetic wave at the same time. It is widely used in the measurement of sea surface wind speed and direction. Its [...] Read more.
A digital-correlation full-polarized microwave radiometer is an important passive remote sensor, as it can obtain the amplitude and phase information of an electromagnetic wave at the same time. It is widely used in the measurement of sea surface wind speed and direction. Its configuration is complicated, so the error analysis of the instrument is often difficult. This paper presents a full-polarized radiometer system model that can be used to analyze various errors, which include input signal models and a full-polarized radiometer (receiver) model. The input signal models are generated by WGN (white Gaussian noise), and the full-polarized radiometer model consists of an RF front-end model and digital back-end model. The calibration matrix is obtained by solving the overdetermined equations, and the output voltage is converted into Stokes brightness temperature through the calibration matrix. Then, we use the four Stokes parameters to analyze the sensitivity, linearity, and calibration residuals, from which the simulation model is validated. Finally, two examples of error analysis, including gain imbalance and quantization error, are given through a simulation model. In general, the simulation model proposed in this paper has good accuracy and can play an important role in the error analysis and pre-development of the fully polarized radiometer. Full article
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