Volume 15 Issue 5
Sep.  2022
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XIAO Shu-lin, HU Chang-hong, GAO Lu-yao, YAN Ke-xiong, YANG Chun-ji, LI Hong-li. Pixel mapping variable-resolution spectral imaging reconstruction[J]. Chinese Optics, 2022, 15(5): 1045-1054. doi: 10.37188/CO.2022-0108
Citation: XIAO Shu-lin, HU Chang-hong, GAO Lu-yao, YAN Ke-xiong, YANG Chun-ji, LI Hong-li. Pixel mapping variable-resolution spectral imaging reconstruction[J]. Chinese Optics, 2022, 15(5): 1045-1054. doi: 10.37188/CO.2022-0108

Pixel mapping variable-resolution spectral imaging reconstruction

doi: 10.37188/CO.2022-0108
Funds:  This research is funded by the cooperation project between Jilin Province and Chinese Academy of Sciences (No. 2020SYHZ0028); (Jilin Province) Capital construction funds within the provincial budget in 2021 (No. 2021C045-3).
More Information
  • Corresponding author: changhonghu@rocketmail.com
  • Received Date: 30 May 2022
  • Rev Recd Date: 22 Jun 2022
  • Available Online: 03 Aug 2022
  • In this paper, the basic principle and reconstruction method of random filter spectral coding-decoding are discussed. According to the automatic feature extraction mechanism of a deep learning undercomplete autoencoder, a pixel mapping variable-resolution spectral imaging reconstruction network with high reconstruction accuracy and low delay is constructed. The parallel training of a 2×2 and 4×4 pixel array spectral reconstruction network is implemented by transforming the pixel mapping relationship. Finally, the network’s performance is verified by the remote sensing data with 512×616 with 120 bands spectral images. For a 2×2 pixel array with 40 bands, the reconstruction PSNR is 53 dB, the reconstruction MSE is less than 0.002, and the reconstruction time is 0.85 s. For a 4×4 pixel array with 120 bands, the reconstruction PSNR is 64 dB, the reconstruction MSE is less than 10−5, and the reconstruction time is 0.5 s. The experimental results show that the pixel mapping variable-resolution spectral imaging reconstruction network has the dynamic transformation performance of high accuracy and low delay.

     

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