[1] Jiamin LIU, Lime ZHANG, Guangyao SHI et al. Hyperspectral image classification with combination of sparse characteristic and neighborhood similarity metrics. Acta Photonica Sinica, 47, 0610001(2018).

[2] Honghui XU, Jianwei ZHENG, Mengjie QIN et al. Hyperspectral image denoising using structural matrix optimization. Journal of Computer-Aided Design & Computer Graphics, 33, 68-80(2021).

[3] Jianwei ZHENG, Yuchao FENG, Cong BAI et al. Hyperspectral image classification using mixed convolutions and covariance pooling. IEEE Transactions on Geoscience and Remote Sensing, 59, 522-534(2020).

[4] Jianwei ZHENG, Jiawei JIANG, Honghui XU et al. Manifold-based nonlocal second-order regularization for hyperspectral image inpainting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 224-236(2020).

[5] Weisheng DONG, Fazuo FU, Guangming SHI et al. Hyperspectral image super-resolution via non-negative structured sparse representation. IEEE Transactions on Image Processing, 25, 2337-2352(2016).

[6] Ruiyuan WU, W MA, Xiao FU et al. Hyperspectral super-resolution via global-local low-rank matrix estimation. IEEE Transactions on Geoscience and Remote Sensing, 58, 7125-7140(2020).

[7] M SIMOES, J BIOUCAS‐DIAS, L B ALMEIDA et al. A convex formulation for hyperspectral image superresolution via subspace-based regularization. IEEE Transactions on Geoscience and Remote Sensing, 53, 3373-3388(2014).

[8] Meng DING, Xiao FU, Tingzhu HUANG et al. Hyperspectral super-resolution via interpretable block-term tensor modeling. Signal Processing, 15, 641-656(2021).

[9] Renwei DIAN, Leyuan FANG, Shutao LI. Hyperspectral image super-resolution via non-local sparse tensor factorization, 5344-5353(2017).

[10] Shutao LI, Renwei DIAN, Leyuan FANG et al. Fusing hyperspectral and multispectral images via coupled sparse tensor factorization. IEEE Transactions on Image Processing, 27, 4118-4130(2018).

[11] Ting XU, Tingzhu HUANG, Liangjian DENG et al. Hyperspectral image superresolution using unidirectional total variation with Tucker decomposition. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4381-4398(2020).

[12] Kaidong WANG, Yao WANG, Xile ZHAO et al. Hyperspectral and multispectral image fusion via nonlocal low-rank tensor decomposition and spectral unmixing. IEEE Transactions on Geoscience and Remote Sensing, 58, 7654-7671(2018).

[13] Jinghua YANG, Xile ZHAO, Tengyu JI et al. Low-rank tensor train for tensor robust principal component analysis. Applied Mathematics and Computation, 367, 124783(2020).

[14] Wenqi WANG, V AGGARWAL, S AERON. Efficient low rank tensor ring completion, 5697-5705(2017).

[15] Renwei DIAN, Shutao LI, Leyuan FANG. Learning a low tensor-train rank representation for hyperspectral image super-resolution. IEEE Transactions on Neural Networks and Learning Systems, 30, 2672-2683(2019).

[16] Wei HE, N YOKOYA, Longhua YUAN et al. Remote sensing image reconstruction using tensor ring completion and total variation. IEEE Transactions on Geoscience and Remote Sensing, 57, 8998-9009(2019).

[17] Longhua YUAN, Chao Li, D MANDIC et al. Tensor ring decomposition with rank minimization on latent space: An efficient approach for tensor completion, 33, 9151-9158(2019).

[18] Wei HE, Yong CHEN, N YOKOYA et al. Hyperspectral super-resolution via coupled tensor ring factorization. arXiv preprint, arXiv(2020).

[19] Wenrui HU, Dacheng TAO, Wensheng ZHANG et al. The twist tensor nuclear norm for video completion. IEEE Transactions on Neural Networks and Learning Systems, 28, 2961-2973(2016).

[20] Canyi LU, Jiashi FENG, Yudong CHEN et al. Tensor robust principal component analysis with a new tensor nuclear norm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 925-938(2019).

[21] Feiping NIE, Zhanxuan HU, XueLong LI. Matrix completion based on non-convex low-rank approximation. IEEE Transactions on Image Processing, 28, 2378-2388(2018).

[22] Yongyong CHEN, Yongli WANG, Mingqiang LI et al. Augmented Lagrangian alternating direction method for low-rank minimization via non-convex approximation. Signal, Image and Video Processing, 11, 1271-1278(2017).

[23] N YOKOYA, N MAYUMI, A IWASAKI. Cross-calibration for data fusion of EO-1/Hyperion and Terra/ASTER. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 419-426(2012).

[24] Renwei DIAN, Shutao LI. Hyperspectral image super-resolution via subspace-based low tensor multi-rank regularization. IEEE Transactions on Image Processing, 28, 5135-5146(2019).

[25] Yi CHANG, Luxin YAN, Xile ZHAO et al. Weighted low-rank tensor recovery for hyperspectral image restoration. IEEE Transactions on Cybernetics, 50, 4558-4572(2020).

[26] Jiangwen YAN, Hong PENG, Ying YU et al. Compressive sensing of wind speed based on non-convex ℓp-norm sparse regularization optimization for structural health monitoring. Engineering Structures, 194, 346-356(2019).

[27] Yubang ZHENG, Tingzhu HUANG, Xile ZHAO et al. Mixed noise removal in hyperspectral image via low-fibered-rank regularization. IEEE Transactions on Geoscience and Remote Sensing, 58, 734-749(2019).

[28] Rongrong MA, Jianyu MIAO, Lingfeng NIU et al. Transformed ℓ1 regularization for learning sparse deep neural networks. Neural Networks, 119, 286-298(2019).

[29] Yong CHEN, Wei HE, N YOKOYA et al. Nonlocal tensor-ring decomposition for hyperspectral image denoising. IEEE Transactions on Geoscience and Remote Sensing, 58, 1348-1362(2019).

[30] Jianwei ZHENG, Ping YANG, Xi YANG et al. Truncated low-rank and total p variation constrained color image completion and its moreau approximation algorithm. IEEE Transactions on Image Processing, 29, 7861-7874(2020).

[31] Qi WEI, N DOBIGEON, J Y TOURNERET. Fast fusion of multi-band images based on solving a Sylvester equation. IEEE Transactions on Image Processing, 24, 4109-4121(2015).

[32] Wei HE, Hongyan ZHANG, Huanfeng SHEN et al. Hyperspectral image denoising using local low-rank matrix recovery and global spatial–spectral total variation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 713-729(2018).

[33] Zhou WANG, A C BOVIK. A universal image quality index. IEEE signal processing letters, 9, 81-84(2002).

[34] R H YUHAS, A F H GOETZ, J W BOARDMAN. Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm, 1, 147-149(1992).

[35] L WALD. Quality of high resolution synthesised images: Is there a simple criterion？, 99-103(2000).

[36] Qi WEI, J BIOUCAS-DIAS, N DOBIGEON et al. Hyperspectral and multispectral image fusion based on a sparse representation. IEEE Transactions on Geoscience and Remote Sensing, 53, 3658-3668(2015).