Abstract
As an important supplement to traditional airborne synthetic aperture radar (SAR), multirotor unmanned aerial vehicle (UAV) SAR has advantages of low cost, high flexibility, and strong survival ability. However, due to its complex motion and flight characteristics of the multirotor UAV platform, multirotor UAV SAR faces challenges including the spatially-variant low-frequency (LF) errors and severe high-frequency (HF) errors. To deal with these problems, an improved motion compensation approach is proposed for multirotor UAV SAR imaging, which is implemented through two processing steps: (i) The LF errors are eliminated by an improved two-step MoCo approach, which takes into account the spatial variations of both envelope and phase, (ii) The HF errors are estimated and corrected by an extended phase gradient autofocus scheme. Different from the conventional solutions, our approach can effectively remove the complex motion errors of multirotor UAV SAR step-by-step with high robustness even in high-resolution scenarios. Computer simulation and experimental results verify the effectiveness of our approach. © 2024 The Authors
Original language | English |
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Pages (from-to) | 15148-15165 |
Journal | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Volume | 17 |
Online published | 26 Aug 2024 |
DOIs | |
Publication status | Published - 2024 |
Research Keywords
- Autonomous aerial vehicles
- Geometric modeling
- high-frequency (HF) error
- History
- Imaging
- low-frequency (LF) error
- motion compensation (MoCo)
- multirotor unmanned aerial vehicle (UAV)
- Radar polarimetry
- Synthetic aperture radar
- Synthetic aperture radar (SAR)
- Trajectory
Publisher's Copyright Statement
- This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/