On the Method of Circular Polarimetric SAR Calibration Using Distributed Targets

Han, Yonghui; Lu, Pingping; Liu, Xiuqing; Hou, Wentao; Gao, Yao; Yu, Weidong; Wang, Robert

doi:10.1109/tgrs.2023.3244584

Cited by 5 publications

(2 citation statements)

References 47 publications

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“…Therefore, it is necessary to use polarimetric calibration technology to calibrate the polarimetric channel imbalance and improve the quality of polarimetric data. Polarimetric calibration methods are generally divided into three types: the calibration method only depends on artificial calibrators [16], [17] or distributed targets [18]- [21] and the calibration method depends on the combination of them [22]- [24]. Although the calibration accuracy of calibrators is high, it is limited by the layout scene, such as mountains, moon and so on.…”

Section: Introductionmentioning

confidence: 99%

AMHC-DTENet: Attention-Based Multipath Hybrid Convolutional Distribution Target Extraction Network for Polarimetric Channel Imbalance Assessment

Li,

Zheng,

Han

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Section: Introductionmentioning

confidence: 99%

AMHC-DTENet: Attention-Based Multipath Hybrid Convolutional Distribution Target Extraction Network for Polarimetric Channel Imbalance Assessment

Li,

Zheng,

Han

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

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“…The calibration targets used for polarimetric SAR calibration mainly include point targets [13][14][15] and distributed targets [16][17][18][19][20][21]. However, the SAR platform, particularly the airborne platform, is affected by atmospheric airflow during movement on the track, resulting in attitude deflection, which affects the scattering matrix of point targets.…”

Section: Introductionmentioning

confidence: 99%

A Novel Point Target Attitude Compensation Method Using Electromagnetic Reflectance Theory

Han

Hou

et al. 2023

Remote Sensing

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During the process of the airborne synthetic aperture radar (SAR) system platform in space, platform attitude deflection is inevitable. However, large attitude deflection angles are unacceptable for polarimetric calibration using point targets, especially the dihedral, which is very sensitive to the pointing angle of the radar. To mitigate the impact of attitude angles on calibration accuracy, attitude compensation of the corner reflector is necessary during the calibration process. The conventional approach to attitude compensation typically maps the three-dimensional attitude angle information to the one-dimensional polarimetric orientation angle (POA) information. However, the reduction of dimension inevitably results in information loss, leading to errors that affect calibration performance when the attitude angle is large. In order to ensure the accuracy of point target calibration, this paper proposes a novel point target compensation method based on the reflection theory of electromagnetic waves. This method is based on three-dimensional attitude angle information and has higher reliability than the POA method. Finally, this paper calculates the distance between the scattering matrices obtained after compensation based on the proposed method and the POA method to obtain the difference in the performance of the two methods. Through a simulation, this paper finds that when the attitude angle is small, the results of the two schemes are approximately the same, but as the attitude angle increases, the error between the two gradually increases. This suggests that the proposed method has greater advantages in the case of attitude deflection. Furthermore, the proposed method does not require additional information supplementation compared with the equivalent POA method, making it highly practical.

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Polarimetric SAR cross-calibration method based on stable distributed targets

Zhou,

Chen,

Yin

et al. 2024

Geo-spatial Information Science

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On the Method of Circular Polarimetric SAR Calibration Using Distributed Targets

Cited by 5 publications

References 47 publications

AMHC-DTENet: Attention-Based Multipath Hybrid Convolutional Distribution Target Extraction Network for Polarimetric Channel Imbalance Assessment

AMHC-DTENet: Attention-Based Multipath Hybrid Convolutional Distribution Target Extraction Network for Polarimetric Channel Imbalance Assessment

A Novel Point Target Attitude Compensation Method Using Electromagnetic Reflectance Theory

Polarimetric SAR cross-calibration method based on stable distributed targets

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