Volume 13 Issue 2
Apr.  2024
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Article Navigation >  Journal of Radars  > 2024  >  13(2): 485-499
HAI Yu, LIU Ling, LI Zhongyu, et al. Optimal sub-band selection algorithm for pseudo-color image synthesis in microwave photonic SAR[J]. Journal of Radars, 2024, 13(2): 485–499. doi: 10.12000/JR23204
Citation: HAI Yu, LIU Ling, LI Zhongyu, et al. Optimal sub-band selection algorithm for pseudo-color image synthesis in microwave photonic SAR[J]. Journal of Radars, 2024, 13(2): 485–499. doi: 10.12000/JR23204
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Optimal Sub-band Selection Algorithm for Pseudo-color Image Synthesis in Microwave Photonic SAR

doi: 10.12000/JR23204
  • 1.

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

  • 2.

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

  • 3.

    The National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China

Funds:  The National Natural Science Foundation of China (62171084, 61922023, 62101096), Science and Technology on Electronic Information Control Laboratory Foundation
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    Abstract
  • 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.

     

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