( en | de | ru )

 

Disambiguation of "Uezato, Tatsumi"

Author of the publication

copydeleteadd this publication to your clipboard
A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes.

, , , and . IEEE Trans. Geosci. Remote. Sens., 54 (5): 2812-2831 (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Kohei Tatsumi

Kohei Tatsumi

 

Other publications of authors with the same name

Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability., , and . Remote. Sens., 12 (14): 2326 (2020)Spectral curve-based endmember extraction method., , , and . WHISPERS, page 1-4. IEEE, (2015)Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration., , , , , and . ECCV (19), volume 13679 of Lecture Notes in Computer Science, page 19-37. Springer, (2022)Illumination invariant hyperspectral image unmixing based on a digital surface model., , and . CoRR, (2020)Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates., , , and . IEEE Trans. Image Processing, 25 (12): 5563-5575 (2016)A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing., , and . WHISPERS, page 1-5. IEEE, (2018)LiDAR-Guided Reduction Of Spectral Variability in Hyperspectral Imagery., , , , and . WHISPERS, page 1-4. IEEE, (2019)A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes., , , and . IEEE Trans. Geosci. Remote. Sens., 54 (5): 2812-2831 (2016)A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes., , , and . IEEE Trans. Geosci. Remote. Sens., 54 (11): 6712-6731 (2016)Interpretable Deep Attention Prior for Image Restoration and Enhancement., , and . IEEE Trans. Computational Imaging, (2023)