Mireille Guillaume

Orcid: 0000-0002-6125-1159

According to our database1, Mireille Guillaume authored at least 34 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects.
Remote. Sens., September, 2023

Determination of Bayesian Cramér-Rao Bounds for Estimating Uncertainties in the Bio-Optical Properties of the Water Column, the Seabed Depth and Composition in a Coastal Environment.
Remote. Sens., May, 2023

2021
Benefit of the Potential Future Hyperspectral Satellite Sensor (BIODIVERSITY) for Improving the Determination of Water Column and Seabed Features in Coastal Zones.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Estimation of Bathymetry and Benthic Habitat Composition from Hyperspectral Remote Sensing Data (BIODIVERSITY) Using a Semi-Analytical Approach.
Remote. Sens., 2021

2020
Mapping Benthic Habitats by Extending Non-Negative Matrix Factorization to Address the Water Column and Seabed Adjacency Effects.
Remote. Sens., 2020

2019
Hyperspectral Oceanic Remote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
NMF Hyperspectral Unmixing Of The Sea Bottom: Influence Of The Adjacency Effects, Model and Method.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

2015
Joint estimation of water column parameters and seabed reflectance combining maximum likelihood and unmixing algorithm.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

2014
A Bilinear-Bilinear Nonnegative Matrix Factorization Method for Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2014

Rare endmembers estimation by NMF methods using multitemporal hyperspectral data and change informations.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2013
A non-negative matrix factorization method for bilinear-bilinear unmixing of hyperspectral images.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

2012
Underwater Target Detection With Hyperspectral Data: Solutions for Both Known and Unknown Water Quality.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

HALS-based NMF with flexible constraints for hyperspectral unmixing.
EURASIP J. Adv. Signal Process., 2012

Hyperspectral change detection by direction pursuit.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

Seabed estimation using triple NMF method.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Estimationofwater column parameters with a maximum likelihood approach.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Comparisonof local anomaly detection algorithms based on statistical hypothesis tests.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

On the interest of regularized non-negative matrix factorization algorithms versus geometrical algorithms.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

2010
Minimum Dispersion Constrained Nonnegative Matrix Factorization to Unmix Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2010

Asymptotically CFAR-Unsupervised Target Detection and Discrimination in Hyperspectral Images With Anomalous-Component Pursuit.
IEEE Trans. Geosci. Remote. Sens., 2010

Robust hyperspectral data unmixing with spatial and spectral regularized NMF.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Underwater target detection with hyperspectral remote-sensing imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

A probabilistic based method for tracking vessels in retinal images.
Proceedings of the International Conference on Image Processing, 2010

Bayesian tracking for blood vessel detection in retinal images.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Estimation of the hyperspectral tucker ranks.
Proceedings of the IEEE International Conference on Acoustics, 2009

Photometry in UV astronomical images of extended sources in crowded field using deblended images in optical visible bands as Bayesian priors.
Proceedings of the Computational Imaging VII, 2009

2008
Multi-channel 2D photometry with super-resolution in far UV astronomical images using priors in visible bands.
Proceedings of the Image Processing: Algorithms and Systems VI, 2008

A CFAR algorithm for anomaly detection and discrimination in hyperspectral images.
Proceedings of the International Conference on Image Processing, 2008

2007
Independent Component Analysis-Based Estimation of Anomaly Abundances in Hyperspectral Images.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2007

2006
Adaptive-3D-Wiener for hyperspectral image restoration: Influence on detection strategy.
Proceedings of the 14th European Signal Processing Conference, 2006

Non Orthogonal Component Analysis: Application to Anomaly Detection.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006

2005
Whitening spatial correlation filtering for hyperspectral anomaly detection.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
SVD-based image filtering improvement by means of image rotation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

1996
Non-additive noise and optimal correlation.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996


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