TABLE 1. THE TENSOR DECOMPOSITION-BASED APPROACHES FOR HS RS. CATEGORY YEAR METHOD BRIEF DESCRIPTION 2019 LRRTC [53] 2020 LRTC [54], [55] 2019 TRTV [56] 2020 WLRTR [37] 2021 TVWTR [57] Destriping 2018 LRTD [58] 2018 LRNLTV [59] 2020 GLTSA [60] 2020 WLRTR [37] Compressive sensing (CS) 2017 JTenRe3DTV [61] 2017 PLTD [62] 2019 NTSRLR [63] 2020 SNLTR [64] 2015 3D-KCHSI [65] 2015 T-NCS [66] 2013 NBOMP [67] 2016 BOSE [68] 2020 TBR [69] AD 2015 LTDD [70] 2016 TenB [71] 2019 TDCW [72] 2020 TEELRD [ [73] 2019 LRASTD [74] 2018 TPCA [75] 2020 PTA [76] 2022 PCA-TLRR [77] SR 2018 STEREO [78] 2020 NCTCP [79] 2018 SCUBA [80] 2018 CSTF [81] 2021 CT/CB-STAR [82] Logarithm of the determinant + TTN t-SVD TR decomposition + spatial TV Weighted Tucker decomposition WTR decomposition + 3DTV Tucker decomposition + SSTV Matrix NN + nonlocal TV Global and local tensor sparse approximation Weighted Tucker decomposition Tucker decomposition + weighted 3DTV Nonlocal Tucker decomposition TNN + Tucker decomposition TR decomposition + subspace representation Kronecker CS (KCS) with independent sampling dimensions Tucker decomposition KCS with a tensor-based greedy algorithm KCS with beamformed mode-based sparse estimator KCS with multidimensional block sparsity Tucker decomposition + principal component analysis (PCA) (CONTINUED) PRIOR INFORMATION Spectral correlation Spectral correlation Spectral correlation + spatial smoothness Spectral correlation + nonlocal similarity Spectral correlation + spatial- spectral smoothness Spectral correlation + spatial- spectral smoothness Spectral correlation + nonlocal similarity Sparsity + spatial and spectral smoothness Spectral correlation + nonlocal similarity Spectral correlation + spatial and spectral smoothness Spectral correlation + nonlocal similarity Spectral correlation + nonlocal similarity Nonlocal similarity + spectral smoothness Spectral correlation Spectral correlation Spectral correlation Spectral correlation Spectral correlation Tucker decomposition + unmixing Spectral correlation Spectral correlation Tucker decomposition + clustering Spectral correlation Tucker decomposition + endmember extraction Tucker decomposition +TNN TPCA + Fourier transform Truncated NN + spatial TV Weighted TNN + multisubspace CP decomposition Spectral correlation + subspace representation Spectral correlation + subspace representation Spectral correlation Spectral correlation + spatial smoothness Spectral correlation + subspace Spectral correlation Nonlocal coupled CP decomposition Spectral correlation + nonlocal similarity CP decomposition with matrix factorization Tucker decomposition Tucker decomposition with interimage variability Spectral correlation Spectral correlation Spectral correlation + spatial-spectral variability https://github.com/ renweidian/CSTF https://github.com/ ricardoborsoi (Continued) MARCH 2023 IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 31 https://github.com/l7170/ PTA-HAD https://github.com/ minghuawang123/ https://github.com/ marhar19/HSR_via_ tensor_decomposition https://owuchangyuo. github.io https://github.com/andrew -pengjj/Enhanced-3DTV https://owuchangyuo.github. io/ https://github.com/ minghuawang123/TVWTR https://github.com/ zhaoxile?tab=repositories CODE LINKShttps://owuchangyuo.github.io/ https://owuchangyuo.github.io/ https://github.com/minghuawang123/TVWTR https://github.com/minghuawang123/TVWTR https://github.com/zhaoxile?tab=repositories https://github.com/zhaoxile?tab=repositories https://owuchangyuo.github.io https://owuchangyuo.github.io https://github.com/andrew-pengjj/Enhanced-3DTV https://github.com/andrew-pengjj/Enhanced-3DTV https://github.com/l7170/PTA-HAD https://github.com/l7170/PTA-HAD https://github.com/minghuawang123 https://github.com/minghuawang123 https://github.com/marhar19/HSR_via_tensor_decomposition https://github.com/marhar19/HSR_via_tensor_decomposition https://github.com/marhar19/HSR_via_tensor_decomposition https://github.com/renweidian/CSTF https://github.com/renweidian/CSTF https://github.com/ricardoborsoi https://github.com/ricardoborsoi