Super-resolution terahertz synthetic aperture image reconstruction algorithm
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Published:2023-12-21
Issue:1
Volume:63
Page:186
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ISSN:1559-128X
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Container-title:Applied Optics
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language:en
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Short-container-title:Appl. Opt.
Author:
Wang Ningbo123ORCID,
Qi Feng123
Affiliation:
1. Chinese Academy of Sciences
2. University of Chinese Academy of Sciences
3. Key Laboratory of Liaoning Province in Terahertz Imaging and Sensing
Abstract
The resolution of terahertz images based on the near-field synthetic aperture radar (NSAR) imaging mode is low due to the narrow antenna beamwidth and the electromagnetic wave loss that was ignored by previous algorithms. We propose a super-resolution terahertz NSAR imaging algorithm. There are two algorithm steps: First, we use the forward mathematical model of the NSAR imaging system and the back-projection algorithm (BPA) to calculate the point spread function (PSF). The next step is to deconvolve the NSAR image reconstructed by BPA to enhance its lateral resolution. To evaluate the effectiveness of our proposed method, we conducted both simulations and experiments. The experiment results show that the proposed method achieves a resolution of 0.67λ, which is a significant improvement. Overall, the proposed method has great potential to enhance the resolution of THz images and advance the use of THz technology in various fields.
Funder
Science, Technology Innovation Project of Xiongan New Area
Natural Science Foundation of Liaoning Province
Shenyang Young and Middle-aged Science and Technology Innovation Talent Support Program
Publisher
Optica Publishing Group
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering
Cited by
1 articles.
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