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Tatsumi Uezato

Guided Deep Decoder: Unsupervised Image Pair Fusion
2020 · Tatsumi Uezato, Danfeng Hong, et al. · Lecture notes in computer science · 116
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Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity
2019 · Tatsumi Uezato, Mathieu Fauvel, et al. · IEEE Transactions on Geoscience and Remote Sensing · 61
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A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes
2016 · Tatsumi Uezato, Richard J. Murphy, et al. · IEEE Transactions on Geoscience and Remote Sensing · 54
Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization
2018 · Tatsumi Uezato, Mathieu Fauvel, et al. · IEEE Transactions on Geoscience and Remote Sensing · 44
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A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes
2015 · Tatsumi Uezato, Richard J. Murphy, et al. · IEEE Transactions on Geoscience and Remote Sensing · 41
Illumination Invariant Hyperspectral Image Unmixing Based on a Digital Surface Model
2020 · Tatsumi Uezato, Naoto Yokoya, et al. · IEEE Transactions on Image Processing · 32
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Mineralogical mapping of southern Namibia by application of continuum-removal MSAM method to the HyMap data
2013 · Shoko Oshigami, Yasushi Yamaguchi, et al. · International Journal of Remote Sensing · 28
Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution
2022 · Xiaoyu Dong, Naoto Yokoya, et al. · Lecture notes in computer science · 23
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Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates
2016 · Tatsumi Uezato, Richard J. Murphy, et al. · IEEE Transactions on Image Processing · 21
Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration
2022 · Wei He, Quanming Yao, et al. · Lecture notes in computer science · 17
Multisource Remote Sensing Image Fusion
2021 · Wei He, Danfeng Hong, et al. · Wiley eBooks · 9
Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability
2020 · Tatsumi Uezato, Mathieu Fauvel, et al. · Remote Sensing · 7
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Multiple endmember spectral unmixing within a multi-task framework
2014 · Tatsumi Uezato, Richard J. Murphy, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 6
Interpretable Deep Attention Prior for Image Restoration and Enhancement
2023 · Wei He, Tatsumi Uezato, et al. · IEEE Transactions on Computational Imaging · 5
LiDAR-Guided Reduction Of Spectral Variability in Hyperspectral Imagery
2019 · Sevcan Kahraman, Raphael Bacher, et al. · Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing · 3
Spectral curve-based endmember extraction method
2015 · Tatsumi Uezato, Richard J. Murphy, et al. · Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing · 3
A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing
2018 · Tatsumi Uezato, Mathieu Fauvel, et al. · Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing · 2
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Data-augmentation Technique Using Helpful AI-generated Images for Training
2025 · Daichi Murata, Tatsumi Uezato, et al. · International Conference on Machine Learning and Applications
Prédiction des services écosystémiques dans les paysages agricoles par télédétection hyperspectrale
2018 · Fauvel, Mathieu, Duflot, Rémi, et al. · HAL
Ecosystem services assessment using hyperspectral images
2017 · Fauvel, Mathieu, Uezato, Tatsumi, et al. · HAL
Unmixing of hyperspectral data by incorporating spectral variability and spatial information
2016 · Tatsumi Uezato · The Sydney eScholarship Repository (The University of Sydney)
Works count: 23
Citation count: 472
H-index: 10
I10-index: 10
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