421 citations · 1.4k across the 28 of their papers we have counts for
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Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +1
Multiple Endmember Spectral Mixture Analysis (MESMA) is one of the leading approaches to perform spectral unmixing (SU) considering variability of the endmembers (EMs). It represen…
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Endmember (EM) spectral variability can greatly impact the performance of standard hyperspectral image analysis algorithms. Extended parametric models have been successfully applie…
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
Traditional hyperspectral unmixing methods neglect the underlying variability of spectral signatures often observed in typical hyperspectral images (HI), propagating these missmode…
Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Image fusion combines data from different heterogeneous sources to obtain more precise information about an underlying scene. Hyperspectral-multispectral (HS-MS) image fusion is cu…
A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Spectral variability in hyperspectral images can result from factors including environmental, illumination, atmospheric and temporal changes. Its occurrence may lead to the propaga…
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
Tensor-based methods have recently emerged as a more natural and effective formulation to address many problems in hyperspectral imaging. In hyperspectral unmixing (HU), low-rank c…
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +1
Sparse hyperspectral unmixing from large spectral libraries has been considered to circumvent limitations of endmember extraction algorithms in many applications. This strategy oft…
Generalized linear mixing model accounting for endmember variability
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
Endmember variability is an important factor for accurately unveiling vital information relating the pure materials and their distribution in hyperspectral images. Recently, the ex…
A New Adaptive Video Super-Resolution Algorithm With Improved Robustness to Innovations
Ricardo Augusto Borsoi, Guilherme Holsbach Costa, José Carlos Moreira Bermudez
In this paper, a new video super-resolution reconstruction (SRR) method with improved robustness to outliers is proposed. Although the R-LMS is one of the SRR algorithms with the b…
Super-Resolution Reconstruction of Electrical Impedance Tomography Images
Ricardo A. Borsoi, Julio C. C. Aya, Guilherme H. Costa +1
Electrical Impedance Tomography (EIT) systems are becoming popular because they present several advantages over competing systems. However, EIT leads to images with very low resolu…
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard +1
Mixing phenomena in hyperspectral images depend on a variety of factors such as the resolution of observation devices, the properties of materials, and how these materials interact…
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images
T. Imbiriba, J. C. M. Bermudez, C. Richard +1
The profusion of spectral bands generated by the acquisition process of hyperspectral images generally leads to high computational costs. Such difficulties arise in particular with…