Journal of Terahertz Science and Electronic Information Technology , Volume. 20, Issue 11, 1184(2022)

Hyperspectral compressed sensing reconstruction algorithm based on dual?band prediction

YE Kuntao1、*, ZHU Baoyi1,2, and LI Sheng1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(10)

    [1] [1] GHAMISI P, YOKOYA N, LI J, et al. Advances in hyperspectral image and signal processing: a comprehensive overview of the state of the art[J]. IEEE Geoscience & Remote Sensing Magazine, 2018,5(4):37-78.

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    [6] [6] WEI Z, ZHANG J, XU Z, et al. Gradient projection with approximate l0 norm minimization for sparse reconstruction in compressed sensing[J]. Sensors, 2018,18(3373):1-15.

    [7] [7] WANG L, FENG Y, GAO Y, et al. Compressed sensing reconstruction of hyperspectral images based on spectral unmixing[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018,11(4):1-19.

    [8] [8] HUANG W,XU Y,HU X,et al. Compressive hyperspectral image reconstruction based on spatial-spectral residual dense network[J].IEEE Geoscience and Remote Sensing Letters, 2020,17(5):884-888.

    [10] [10] CANG S, WANG A. Research on hyperspectral image reconstruction based on GISMT compressed sensing and interspectral prediction[J]. International Journal of Optics, 2020(12):1-11.

    [12] [12] XU Jiajia, ZHANG Weiming, JIANG Ruiqi, et al. Minimum structural similarity distortion for reversible data hiding[J]. Chinese Journal of Electronics, 2018,27(3):582-587.

    [14] [14] HOU Y,ZHANG Y. Interband prediction compressed sensing reconstruction algorithm for hyperspectral image[C]// International Workshop on Earth Observation & Remote Sensing Applications. Guangzhou,China:IEEE, 2016:465-469.

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    YE Kuntao, ZHU Baoyi, LI Sheng. Hyperspectral compressed sensing reconstruction algorithm based on dual?band prediction[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(11): 1184

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    Paper Information

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    Received: Nov. 24, 2020

    Accepted: --

    Published Online: Dec. 26, 2022

    The Author Email: Kuntao YE (mems_123@126.com)

    DOI:10.11805/tkyda2020647

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