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03/19/2023
Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks
Multitemporal hyperspectral unmixing (MTHU) is a fundamental tool in the...
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04/17/2021
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing
Autoencoder (AEC) networks have recently emerged as a promising approach...
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01/02/2020
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing
The recent evolution of hyperspectral imaging technology and the prolife...
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09/20/2019
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis
Multiple Endmember Spectral Mixture Analysis (MESMA) is one of the leadi...
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08/30/2019
Robust Online Video Super-Resolution Using an Efficient Alternating Projections Scheme
Video super-resolution reconstruction (SRR) algorithms attempt to recons...
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08/19/2019
A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing
Introducing spatial prior information in hyperspectral imaging (HSI) ana...
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02/14/2019
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing
Endmember (EM) spectral variability can greatly impact the performance o...
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01/02/2019
Improved Hyperspectral Unmixing With Endmember Variability Parametrized Using an Interpolated Scaling Tensor
Endmember (EM) variability has an important impact on the performance of...
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11/02/2018
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability
Traditional hyperspectral unmixing methods neglect the underlying variab...
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08/30/2018
Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability
Image fusion combines data from different heterogeneous sources to obtai...
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08/02/2018
A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability
Spectral variability in hyperspectral images can result from factors inc...
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03/16/2018
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
Tensor-based methods have recently emerged as a more natural and effecti...
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12/05/2017
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing
Sparse hyperspectral unmixing from large spectral libraries has been con...
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10/20/2017
Generalized linear mixing model accounting for endmember variability
Endmember variability is an important factor for accurately unveiling vi...
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06/14/2017
