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20132022
most citedNonlinear unmixing of hyperspectral images: models and algorithms

421 citations · 1.4k across the 28 of their papers we have counts for

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Showing eess.IVShow all

6 papers · 1 filter

eess.IV2022

A Pathology-Based Machine Learning Method to Assist in Epithelial Dysplasia Diagnosis

Karoline da Rocha, José C. M. Bermudez, Elena R. C. Rivero +1

The Epithelial Dysplasia (ED) is a tissue alteration commonly present in lesions preceding oral cancer, being its presence one of the most important factors in the progression towa…

eess.IV2021★ 19 cited

Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data

Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +1

Multitemporal spectral unmixing (SU) is a powerful tool to process hyperspectral image (HI) sequences due to its ability to reveal the evolution of materials over time and space in…

eess.IV2021★ 1 cited

Tech Report: A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing

L. C. Ayres, S. J. M. de Almeida, J. C. M. Bermudez +1

Several approaches have been proposed to solve the spectral unmixing problem in hyperspectral image analysis. Among them the use of sparse regression techniques aims to characteriz…

eess.IV2020★ 260 cited

Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review

Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +6

The spectral signatures of the materials contained in hyperspectral images, also called endmembers (EM), can be significantly affected by variations in atmospheric, illumination or…

eess.IV2020★ 23 cited

Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing

Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas +2

The recent evolution of hyperspectral imaging technology and the proliferation of new emerging applications presses for the processing of multiple temporal hyperspectral images. In…

eess.IV2019★ 118 cited

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing

Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +1

Introducing spatial prior information in hyperspectral imaging (HSI) analysis has led to an overall improvement of the performance of many HSI methods applied for denoising, classi…