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20082026
most citedHyperspectral and Multispectral Image Fusion based on a Sparse Representation

709 citations

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11 papers · 1 filter

cs.CV2019★ 9 cited

Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images

Adrien Lagrange, Mathieu Fauvel, Stéphane May +1

Hyperspectral unmixing aims at identifying a set of elementary spectra and the corresponding mixture coefficients for each pixel of an image. As the elementary spectra correspond t…

cs.CV2018★ 44 cited

A Tensor Factorization Method for 3D Super-Resolution with Application to Dental CT

Janka Hatvani, Adrian Basarab, Jean-Yves Tourneret +2

Available super-resolution techniques for 3D images are either computationally inefficient prior-knowledge-based iterative techniques or deep learning methods which require a large…

cs.CV2018★ 1 cited

Pose estimation of a single circle using default intrinsic calibration

Mariyanayagam Damien, Gurdjos Pierre, Chambon Sylvie +2

Circular markers are planar markers which offer great performances for detection and pose estimation. For an uncalibrated camera with an unknown focal length, at least the images o…

cs.CV2017

Unmixing dynamic PET images with variable specific binding kinetics

Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon +3

To analyze dynamic positron emission tomography (PET) images, various generic multivariate data analysis techniques have been considered in the literature, such as principal compon…

cs.CV2016★ 4 cited

Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: a Fusion-Based Approach

Vinicius Ferraris, Nicolas Dobigeon, Qi Wei +1

Change detection is one of the most challenging issues when analyzing remotely sensed images. Comparing several multi-date images acquired through the same kind of sensor is the mo…

cs.CV2016★ 58 cited

Unsupervised Nonlinear Spectral Unmixing based on a Multilinear Mixing Model

Qi Wei, Marcus Chen, Jean-Yves Tourneret +1

In the community of remote sensing, nonlinear mixing models have recently received particular attention in hyperspectral image processing. In this paper, we present a novel nonline…