Optical Technique, Volume. 48, Issue 1, 93(2022)

Super-resolution method of hyperspectral image based on GoogLeNet and spatial spectrum transformation

WANG Yiqin1、*, DONG Yunyun2, and LIU Huiling3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(14)

    [1] [1] Liu W, Lee J. An efficient residual learning neural network for hyperspectral image superresolution[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2019,12(4):1240-1253.

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    [4] [4] Jia J, Ji L, Zhao Y, et al. Hyperspectral image super-resolution with spectral–spatial network[J]. International Journal of Remote Sensing,2018,39(21-22):7806-7829.

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    [11] [11] Fang L, Zhuo H, Li S, et al. Super-resolution of hyperspectral image via superpixel-based sparse representation[J]. Neurocomputing,2018,273(6):171-177.

    [13] [13] Guo W, Wan W, Liu J, et al. Non-local blind hyperspectral image super-resolution via 4d sparse tensor factorization and low-rank[J]. Inverse Problems and Imaging,2020,14(2):339-361.

    [15] [15] Wang H J, Gao X B, Zhang K B, et al. Fast single image super-resolution using sparse Gaussian process regression[J]. Signal Processing,2017,134(3):52-62.

    [16] [16] Ying F A, Yz A, Lin Z B, et al. Simultaneous hyperspectral image super-resolution and geometric alignment with a hybrid camera system[J]. Neurocomputing,2020,384(3):282-294.

    [18] [18] Bi H, Deng J, Yang T, et al. CNN-based target detection and classification: when sparse sar image dataset is available[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2021,PP(99):1-12.

    [21] [21] Lee H, Kwon H. Going deeper with contextual cnn for hyperspectral image classification[J]. IEEE Trans Image Process,2017,26(10):4843-4855.

    [23] [23] Li Y, Hu J, Zhao X, et al. Hyperspectral image super-resolution using deep convolutional neural network[J]. Neurocomputing,2017,266(11):29-41.

    [25] [25] Xu T, Huang T Z, Deng L J, et al. Hyperspectral image superresolution using unidirectional total variation with tucker decomposition[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2020,13(2):4381-4398.

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    WANG Yiqin, DONG Yunyun, LIU Huiling. Super-resolution method of hyperspectral image based on GoogLeNet and spatial spectrum transformation[J]. Optical Technique, 2022, 48(1): 93

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    Paper Information

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    Received: Mar. 8, 2021

    Accepted: --

    Published Online: Mar. 4, 2022

    The Author Email: WANG Yiqin (wangyiqin80@126.com)

    DOI:

    CSTR:32186.14.

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