Three-dimensional imaging algorithm based on azimuth resampling for high-speed diving forward-looking linear array SAR

Can Liu; Gewei Tan; Kun Ma

doi:10.1117/12.3029090

6 May 2024 Three-dimensional imaging algorithm based on azimuth resampling for high-speed diving forward-looking linear array SAR

Can Liu, Gewei Tan, Kun Ma

Author Affiliations +

Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 131073O (2024) https://doi.org/10.1117/12.3029090
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China

Abstract

In this paper, a new azimuth resampling algorithm is proposed to eliminate azimuth spatial variability for high-speed diving forward-looking line array synthetic aperture radar (HDFLLA-SAR). Specifically, this algorithm utilizes least square fit (LSF) method to describe the relationship between azimuth space-variant phase and azimuth space-variant component, and compensates for azimuth spatial variability through resampling interpolation. Simulation experiments validate the effectiveness of the proposed algorithm.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Can Liu, Gewei Tan, and Kun Ma "Three-dimensional imaging algorithm based on azimuth resampling for high-speed diving forward-looking linear array SAR", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131073O (6 May 2024); https://doi.org/10.1117/12.3029090

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KEYWORDS

Synthetic aperture radar

3D image processing

Detection and tracking algorithms

3D acquisition

Imaging arrays

3D projection

Computer simulations

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