Infrared and Laser Engineering, Volume. 54, Issue 5, 20240592(2025)

Degradation-aware transformer for blind hyperspectral and multispectral image fusion(back cover paper·invited)

Xuheng CAO1,2,3, Xiaopeng HAO1,3, Yusheng LIAN4, Xuquan WANG2, and Xinbin CHENG2
Author Affiliations
  • 1Remote Sensing Calibration Laboratory, National Institute of Metrology, Beijing 100029, China
  • 2Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
  • 3Technology Innovation Center of Infrared Remote Sensing Metrology Technology, State Administration for Market Regulation, Beijing 100029, China
  • 4School of Printing and Packaging Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China
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    References(36)

    [1] LIU Pengfei, ZHAO Huaici, LI Peixuan. Hyperspectral images reconstruction using adversarial networks from single RGB image[J]. Infrared and Laser Engineering, 49, 20200093(2020).

    [2] CHANG C I, LIN C Y et al. Iterative spectral–spatial hyperspectral anomaly detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 5504330(2023).

    [7] CHEN Y, ZENG J, HE W et al. Hyperspectral and multispectral image fusion using factor smoothed tensor ring decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 60, 5515417(2022).

    [8] CAO X, LIAN Y, WANG K et al. Unsupervised hybrid network of transformer and CNN for blind hyperspectral and multispectral image fusion[J]. IEEE Transactions on Geoscience and Remote Sensing, 62, 5507615(2024).

    [9] LI J, ZHENG K, GAO L et al. Enhanced deep image prior for unsupervised hyperspectral image super-resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 63, 1-1(2025).

    [10] [10] QU Y, QI H, KWAN C. Unsupervised sparse dirichlet f hyperspectral image superresolution [C]Proc IEEECVF Conf Computer Vision Pattern Recognition (CVPR), 2018: 25112520.

    [12] WANG Z, NG M K, MICHALSKI J et al. A self-supervised deep denoiser for hyperspectral and multispectral image fusion[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 5520414(2023).

    [13] ZHANG L, NIE J, WEI W et al. Unsupervised test-time adaptation learning for effective hyperspectral image super-resolution with unknown degeneration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, 5008-5025(2024).

    [14] LI J, ZHENG K, LIU W et al. Model-guided coarse-to-fine fusion network for unsupervised hyperspectral image super-resolution[J]. IEEE Geoscience and Remote Sensing Letters, 20, 5508605(2023).

    [15] WANG W, FU X, ZENG W et al. Enhanced deep blind hyperspectral image fusion[J]. IEEE Transactions on Neural Networks and Learning Systems, 34, 1513-1523(2021).

    [17] LI J, ZHENG K, YAO J et al. Deep unsupervised blind hyperspectral and multispectral data fusion[J]. IEEE Geoscience and Remote Sensing Letters, 19, 6007305(2022).

    [18] GAO L, LI J, ZHENG K et al. Enhanced autoencoders with attention-embedded degradation learning for unsupervised hyperspectral image super-resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 5509417(2023).

    [19] LI J, ZHENG K, LI Z et al. X-shaped interactive autoencoders with cross-modality mutual learning for unsupervised hyperspectral image super-resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 5518317(2023).

    [22] SIMÕES M, BIOUCAS-DIAS J, ALMEIDA L B et al. A convex formulation for hyperspectral image superresolution via subspace-based regularization[J]. IEEE Transactions on Geoscience and Remote Sensing, 53, 3373-3388(2015).

    [24] YOU T, WU C, BAI W et al. HMF-Former: Spatio-spectral transformer for hyperspectral and multispectral image fusion[J]. IEEE Geoscience and Remote Sensing Letters, 20, 5500505(2023).

    [32] CAO X, LIAN Y, LIU Z et al. Universal high spatial resolution hyperspectral imaging using hybrid-resolution image fusion[J]. Optical Engineering, 62, 033107(2023).

    [35] HU J, HUANG T, DENG L et al. Fusformer: A transformer-based fusion network for hyperspectral image super-resolution[J]. IEEE Geoscience and Remote Sensing Letters, 19, 6012305(2022).

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    Xuheng CAO, Xiaopeng HAO, Yusheng LIAN, Xuquan WANG, Xinbin CHENG. Degradation-aware transformer for blind hyperspectral and multispectral image fusion(back cover paper·invited)[J]. Infrared and Laser Engineering, 2025, 54(5): 20240592

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    Paper Information

    Category: Special issue—Hyperspectral technology and applications

    Received: Dec. 19, 2024

    Accepted: --

    Published Online: May. 26, 2025

    The Author Email:

    DOI:10.3788/IRLA20240592

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