Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for
Spectral Variability

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Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability

2 November 2018

Advaith Siddharthan

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Papers citing "Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability"

7 / 7 papers shown

Title
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing R. Borsoi Deniz Erdoğmuş Tales Imbiriba 72 6 0 03 Oct 2023
Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review Xin-Ru Feng Hengchao Li Rui Wang Q. Du Wenxuan Wang Antonio J. Plaza 58 68 0 20 May 2022
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review Minghua Wang Danfeng Hong Zhu Han Jiaxin Li Jing Yao Lianru Gao Bing Zhang Jocelyn Chanussot 77 66 0 13 May 2022
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing Danfeng Hong Wei He Naoto Yokoya Jing Yao Lianru Gao Liangpei Zhang Jocelyn Chanussot Xiaoxiang Zhu 53 0 0 02 Mar 2021
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis R. Borsoi Tales Imbiriba J. Bermudez C. Richard 61 22 0 20 Sep 2019
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing R. Borsoi Tales Imbiriba J. Bermudez 42 105 0 14 Feb 2019
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing R. Borsoi Tales Imbiriba J. Bermudez C. Richard 61 90 0 05 Dec 2017