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2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13

2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS 2020 567-576 Hyperspectral Unmixing Via Nonconvex Sparse and Low-Rank Constraint.  ...  ., +, JSTARS 2020 113-128 Concave programming Hyperspectral Unmixing Via Nonconvex Sparse and Low-Rank Constraint.  ...  A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020  ... 
doi:10.1109/jstars.2021.3050695 fatcat:ycd5qt66xrgqfewcr6ygsqcl2y

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
and Hanssen, R.F., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging  ...  Hu, C., Zhang, B., Dong, X., and Li, Y., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L.,  ...  Zhang, P., +, Hyperspectral Restoration via L 0 Gradient Regularized Low-Rank Tensor Factorization.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

2020 Index IEEE Transactions on Computational Imaging Vol. 6

2020 IEEE Transactions on Computational Imaging  
Jin, H., +, TCI 2020 1097-1105 Reconstruction of Hyperspectral Data From RGB Images With Prior Cate- gory Information. Yan, L., +, TCI 2020 1070-1081 Robust Low-Rank Tensor Ring Completion.  ...  ., +, TCI 2020 1607-1621 Using Low-Rank Tensors for the Recovery of MPI System Matrices. Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T 1 Mapping.  ... 
doi:10.1109/tci.2021.3054596 fatcat:puij7ztll5ai7alxrmqzsupcny

Table of Contents

2020 IEEE Transactions on Computational Imaging  
Chen, and S. Rahardja 1070 Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery . . . . . J. Jiang, H. Sun, X. Liu, and J.  ...  Zhang 1233 Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs -Application to High Dimensional Infrared Astronomical Imaging . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tci.2021.3054280 fatcat:7se3scatcrcutgat3tpk5mz2nm

Low-Rank Tensor Decomposition with Smooth and Sparse Regularization for Hyperspectral and Multispectral Data Fusion

Fei Ma, Feixia Yang, Yanwei Wang
2020 IEEE Access  
Owing to the low-rank property, tensor decomposition has been widely used in remote sensing, such as hyperspectral image restoration [32] , image smooth and denoising [33] , [34] , feature extraction  ...  To address the structure loss of hyperspectral and multispectral data cubes and suppress the effect of noise and redundant information, this article proposes a low-rank decomposition-based fusion method  ... 
doi:10.1109/access.2020.3009263 fatcat:ar7zqhydmrhw7b4amsbj6c7r3y

Table of Contents

2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Santoni, and L. Bruzzone Can Terrestrial Restoration Methodologies be Transferred to Planetary Hyperspectral Imagery?  ...  Liao 1856 Automatic Building Extraction via Adaptive Iterative Segmentation With LiDAR Data and High Spatial Resolution Imagery Fusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Yang 3723 A Twice Optimizing Net With Matrix Decomposition for Hyperspectral and Multispectral Image Fusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/jstars.2020.3046663 fatcat:zqzyhnzacjfdjeejvzokfy4qze

Table of contents

2020 IEEE Transactions on Image Processing  
Ma 9413 Formation and Reconstruction Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm ...... J. Lou and Y.-M.  ...  Huang, and J. Liu 1246 Low-Rank Quaternion Approximation for Color Image Processing ...................... Y. Chen, X. Xiao, and Y.  ...  Lin, and Zhang, Y. Tian, K. Wang, W. Zhang, and F.-  ... 
doi:10.1109/tip.2019.2940373 fatcat:i7hktzn4wrfz5dhq7hj75u6esa

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 100-115 Low-Rank Approximation via Generalized Reweighted Iterative Nuclear and Frobenius Norms.  ...  ., +, TIP 2020 6315-6329 Low-Rank Approximation via Generalized Reweighted Iterative Nuclear and Frobenius Norms.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Table of contents

2021 IEEE Transactions on Geoscience and Remote Sensing  
Deng 6854 Hyperspectral Image Restoration: Where Does the Low-Rank Property Exist ............................................... .......................................................................  ...  Wu, and Q. Du 6840 Nonlocal Tensor-Based Sparse Hyperspectral Unmixing ......... J. Huang, T.-Z. Huang, X.-L. Zhao, and L.-J.  ... 
doi:10.1109/tgrs.2021.3090240 fatcat:kbcbgsnrv5fuzbozvjynhj3c3y

Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing [article]

Danfeng Hong and Wei He and Naoto Yokoya and Jing Yao and Lianru Gao and Liangpei Zhang and Jocelyn Chanussot and Xiao Xiang Zhu
2021 arXiv   pre-print
Hyperspectral imaging, also known as image spectrometry, is a landmark technique in geoscience and remote sensing (RS).  ...  However, with the ever-growing volume of data, the bulk of costs in manpower and material resources poses new challenges on reducing the burden of manual labor and improving efficiency.  ...  and low-rank tensor approximation.  ... 
arXiv:2103.01449v1 fatcat:jvo4pr5atvfb5kohpslvkhhmky

Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

Pedram Ghamisi, Naoto Yokoya, Jun Li, Wenzhi Liao, Sicong Liu, Javier Plaza, Behnood Rasti, Antonio Plaza
2017 IEEE Geoscience and Remote Sensing Magazine  
reduction, resolution enhancement, hyperspectral image denoising and restoration, change detection, and fast computing.  ...  Recent advances in airborne and spaceborne hyperspectral imaging technology have provided end users with rich spectral, spatial, and temporal information, which make a plethora of applications for the  ...  and Data Fusion Technical Committee for organizing the 2013 Data Fusion Contest.  ... 
doi:10.1109/mgrs.2017.2762087 fatcat:6ezzye7yyvacbouduqv2f2c7gi

Hyperspectral-Multispectral Image Fusion via Tensor Ring and Subspace Decompositions

Honghui Xu, Mengjie Qin, Sheng Yong Chen, Yuhui Zheng, Jian Wei Zheng
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Fusion from a spatially low resolution hyperspectral image (LR-HSI) and a spectrally low resolution multispectral image (MSI) to produce a high spatial-spectral HSI (HR-HSI), known as Hyperspectral super-resolution  ...  With the introduced tensor nuclear norm (TNN) constraint, all 3D tensor ring factors are no longer unfolded to suit the matrix nuclear norm used in conventional methods, and the internal tensor structure  ...  (22) is to minimize the TR rank finding the low-rank structure of the data and approximating the recovered tensor. Note that Ref.  ... 
doi:10.1109/jstars.2021.3108233 fatcat:65v7uz2vufg6pa4xbqww7yn664

Bayesian Approach in a Learning-Based Hyperspectral Image Denoising Framework

Hazique Aetesam, Suman Kumar Maji, Hussein Yahia
2021 IEEE Access  
Bai, “Mixed noise removal via prior algorithms with application to impulse denoising,” in Proceedings laplacian scale mixture modeling and nonlocal low-rank approximation  ...  low-rank matrix factorization for hyperspectral image restoration,” IEEE [41] J.-F. Cai, R. H. Chan, and M.  ... 
doi:10.1109/access.2021.3137656 fatcat:f32vzzaz4nb3jin7vnrazlmtp4

2015 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 53

2015 IEEE Transactions on Geoscience and Remote Sensing  
Image Denoising via Sparse Representation and Low-Rank Constraint.  ...  Martin, G., +, TGRS May 2015 2819-2831 Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint.  ... 
doi:10.1109/tgrs.2015.2513444 fatcat:zuklkpk4gjdxjegoym5oagotzq

Component Decomposition-Based Hyperspectral Resolution Enhancement for Mineral Mapping

Puhong Duan, Jibao Lai, Pedram Ghamisi, Xudong Kang, Robert Jackisch, Jian Kang, Richard Gloaguen
2020 Remote Sensing  
In this paper, we investigate the potential of the resolution enhancement of hyperspectral images (HSIs) with the guidance of RGB images for mineral mapping.  ...  Finally, the HSI with high resolution can be reconstructed by utilizing the obtained illumination and the reflectance components.  ...  and panchromatic data and (2) fusion of multispectral (MS) and hyperspectral data.  ... 
doi:10.3390/rs12182903 fatcat:zw6sebeskbakjhpysnptukqsve
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