Deblurring of radar images aided by point spread function estimator and convolutional regulariser

Rahul Sharma; María García-Fernández; Guillermo Álvarez-Narciandi; Okan Yurduseven

doi:10.1117/12.3033703

19 November 2024 Deblurring of radar images aided by point spread function estimator and convolutional regulariser

Rahul Sharma, María García-Fernández, Guillermo Álvarez-Narciandi, Okan Yurduseven

Proceedings Volume 13196, Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX; 131960W (2024) https://doi.org/10.1117/12.3033703
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

Abstract

An innovative deep learning-based solution to address motion blur in radar images, resulting from radar platform or target movement, is presented in this work. Leveraging Convolutional Neural Network (CNN), the proposed method learns a mapping from blurred to deblurred images, while a separate CNN estimates the point spread function (PSF) of the motion blur. This estimated PSF is then used to reconstruct deblurred images, optimising the reconstruction process by integrating the input image, estimated PSF, and ground truth relationship into the training loss term. Trained on a comprehensive dataset of simulated blurred and deblurred radar images, generated from a numerical imaging model, the model exhibits exceptional performance, outperforming state-of- the-art methods across varying degrees and lengths of blur. Specifically, testing on 6,410 images yields mean squared error (MSE) and structural similarity index (SSIM) scores of 0.0086 and 0.9398, respectively. Additionally, validation on experimental measurements showcases promising results. This comprehensive evaluation underscores the effectiveness and versatility of the proposed approach, offering significant advancements in radar image processing for various applications such as target detection, recognition, surveillance, and navigation.

Conference Presentation

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

Citation Download Citation

Rahul Sharma, María García-Fernández, Guillermo Álvarez-Narciandi, and Okan Yurduseven "Deblurring of radar images aided by point spread function estimator and convolutional regulariser", Proc. SPIE 13196, Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX, 131960W (19 November 2024); https://doi.org/10.1117/12.3033703

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