An Improved Satellite ISAL Imaging Vibration Phase Compensation Algorithm Based on Prior Information and Adaptive Windowing

Duan, Chenxuan; Liu, Hongyuan; Wu, Xiaona; Tang, Jian; Feng, Zhejun; Cao, Changqing

doi:10.3390/rs17050780

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Open AccessArticle

An Improved Satellite ISAL Imaging Vibration Phase Compensation Algorithm Based on Prior Information and Adaptive Windowing

by

Chenxuan Duan

,

Hongyuan Liu

,

Xiaona Wu

,

Jian Tang

,

Zhejun Feng

and

Changqing Cao

^*

School of Optoelectronic Engineering, Xidian University, Xi’an 710071, China

^*

Author to whom correspondence should be addressed.

Remote Sens. 2025, 17(5), 780; https://doi.org/10.3390/rs17050780 (registering DOI)

Submission received: 30 December 2024 / Revised: 21 February 2025 / Accepted: 22 February 2025 / Published: 23 February 2025

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Abstract

Spaceborne inverse synthetic aperture ladar (ISAL) can achieve high-resolution imaging of satellite targets. However, because the amplitudes of satellite microvibration are comparable to the ladar wavelength, the echoes will contain both space-variant and space-invariant phase errors. These errors will lead to azimuthal image defocus and impede target analysis and identification. In this paper, we establish a phase error estimation model based on satellite vibration characteristics. Based on this model, we propose a vibration phase error compensation algorithm using prior information and adaptive windowing. Compared to conventional algorithms, this algorithm utilizes prior information to improve estimation accuracy while significantly reducing computational complexity. Furthermore, high-accuracy phase function estimation can be achieved through maximum likelihood estimation and adaptive window filtering, thereby enabling the compensation of vibration phase errors. Both simulation and real imaging experiments validate the effectiveness and robustness of the proposed algorithm.

Keywords: inverse synthetic aperture ladar (ISAL); satellite targets; vibration compensation; space-variant phase error; space-invariant phase error; priori information; adaptive windowing

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MDPI and ACS Style

Duan, C.; Liu, H.; Wu, X.; Tang, J.; Feng, Z.; Cao, C. An Improved Satellite ISAL Imaging Vibration Phase Compensation Algorithm Based on Prior Information and Adaptive Windowing. Remote Sens. 2025, 17, 780. https://doi.org/10.3390/rs17050780

AMA Style

Duan C, Liu H, Wu X, Tang J, Feng Z, Cao C. An Improved Satellite ISAL Imaging Vibration Phase Compensation Algorithm Based on Prior Information and Adaptive Windowing. Remote Sensing. 2025; 17(5):780. https://doi.org/10.3390/rs17050780

Chicago/Turabian Style

Duan, Chenxuan, Hongyuan Liu, Xiaona Wu, Jian Tang, Zhejun Feng, and Changqing Cao. 2025. "An Improved Satellite ISAL Imaging Vibration Phase Compensation Algorithm Based on Prior Information and Adaptive Windowing" Remote Sensing 17, no. 5: 780. https://doi.org/10.3390/rs17050780

APA Style

Duan, C., Liu, H., Wu, X., Tang, J., Feng, Z., & Cao, C. (2025). An Improved Satellite ISAL Imaging Vibration Phase Compensation Algorithm Based on Prior Information and Adaptive Windowing. Remote Sensing, 17(5), 780. https://doi.org/10.3390/rs17050780

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An Improved Satellite ISAL Imaging Vibration Phase Compensation Algorithm Based on Prior Information and Adaptive Windowing

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