Optimal Sub-band Selection Algorithm for Pseudo-color Image Synthesis in Microwave Photonic SAR

Yu HAI; Ling LIU; Zhongyu LI; Wei PU; Xiaoting WANG; Junjie WU; Wangzhe   LI; Ruoming LI; Yulin HUANG; Jianyu YANG

doi:10.12000/JR23204

Leida xuebao (Apr 2024)

Optimal Sub-band Selection Algorithm for Pseudo-color Image Synthesis in Microwave Photonic SAR

Yu HAI,
Ling LIU,
Zhongyu LI,
Wei PU,
Xiaoting WANG,
Junjie WU,
Wangzhe LI,
Ruoming LI,
Yulin HUANG,
Jianyu YANG

Affiliations

Yu HAI: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Ling LIU: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Zhongyu LI: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Wei PU: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Xiaoting WANG: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Junjie WU: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Wangzhe LI: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Ruoming LI: The National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
Yulin HUANG: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Jianyu YANG: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

DOI: https://doi.org/10.12000/JR23204
Journal volume & issue: Vol. 13, no. 2
pp. 485 – 499

Abstract

Read online

Microwave Photonic (MWP) radars have remarkably improved traditional microwave radar hardware architectures using photonics devices. With the exceptional physical properties of photonic devices, MWP radars can emit ultra-wideband, high-linearity, high-quality linear frequency modulation signals, allowing ultra-high-resolution target imaging and detection. Different target regions exhibit distinct responses to different frequency signals during target imaging and detection due to their diverse structures and characteristics. Therefore, MWP radars have the potential to generate pseudo-color images based on scattering differences, further enhancing the information retrieval capability of MWP Synthetic Aperture Radar (MWP-SAR). Pseudo-color images generated using traditional remote sensing techniques cannot achieve centimeter-level resolution. Therefore, we propose a method for generating pseudo-color images while maintaining the resolution of MWP-SAR. The algorithm first determines an optimal sub-band echo search model and subsequently employs the optimal sub-band search algorithm to process the ultra-wideband echoes to obtain sub-band echo channels with the largest scattering characteristic differences. The multi-sub-band images are then color-composited to generate pseudo-color images that best describe the target scattering characteristics. However, to ensure the high resolution of MWP-SAR, a fusion model is established to combine the full-resolution SAR image with the multi-sub-band image. Finally, full-resolution pseudo-color images are successfully synthesized using the measured airborne MWP-SAR data, validating the effectiveness of the algorithm. This algorithm enables MWP-SAR to obtain more target information during imaging, offering assistance in implementing imaging radar and microwave vision.

Published in Leida xuebao

ISSN: 2095-283X (Print); 2097-339X (Online)
Publisher: China Science Publishing & Media Ltd. (CSPM)
Country of publisher: China
LCC subjects: Science: Physics: Electricity and magnetism
Website: https://radars.ac.cn/

About the journal

Abstract

Keywords