V. Achard

发表

COMPARATIVE EVALUATION OF HYPERSPECTRAL ANOMALY DETECTION METHODS IN SCENES WITH DIVERSE COMPLEXITY OECD

D. Borghys, C. Perneel, I. Kåsen, 2012 .

Spaceborne measurements of the upper stratospheric HCL vertical distribution in early 1992 and the trend in total stratospheric

C. Camy‐Peyret, V. Achard, F. Karcher, 1997 .

An NMF-based method for jointly handling mixture nonlinearity and intraclass variability in hyperspectral blind source separation

Y. Deville, X. Briottet, G. Faury, 2022, Digit. Signal Process..

Classification of Hyperspectral Reflectance Images With Physical and Statistical Criteria

Véronique Achard, Alexandre Alakian, V. Achard, 2020, Remote. Sens..

A New Hyperspectral Unmixing Method Using Co-Registered Hyperspectral and Panchromatic Images

Yannick Deville, Xavier Briottet, Simon Rebeyrol, 2019, 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).

An unmixing-based method for the analysis of thermal hyperspectral images

Jocelyn Chanussot, Michal Shimoni, Xavier Briottet, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Direct and inverse radiative transfer solutions for visible and near-infrared hyperspectral imagery

Xavier Briottet, Laurent Poutier, Yannick Boucher, 2005, IEEE Transactions on Geoscience and Remote Sensing.

Active Learning for Hyperspectral Image Classification: A comparative review

B. Berthelot, L. Risser, X. Briottet, 2022, IEEE Geoscience and Remote Sensing Magazine.

Using a Panchromatic Image to Improve Hyperspectral Unmixing

Yannick Deville, Xavier Briottet, Véronique Achard, 2020, Remote. Sens..

Preliminary results to define an active multispectral imager for gunshot residues patterns visualization

Véronique Achard, Ph. Deliot, B. Corcelle, 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).

Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: a Hyperspectral Unmixing Method Dealing with Intra-class Variability pdf

Yannick Deville, Xavier Briottet, Charlotte Revel, 2017, Remote. Sens..

Validation and robustness of an atmospheric correction algorithm for hyperspectral images

Laurent Poutier, Yannick Boucher, Xavier Lenot, 2002, SPIE Defense + Commercial Sensing.

Hyperspectral anomaly detection: A comparative evaluation of methods

C. Perneel, V. Achard, S. R. Rotman, 2011, 2011 XXXth URSI General Assembly and Scientific Symposium.

PVAE: A PHYSICS-INTEGRATED GENERATIVE MODEL

B. Berthelot, L. Risser, X. Briottet, 2022 .

Spectral Unmixing for Thermal Infrared Multi-Spectral Airborne Imagery over Urban Environments: Day and Night Synergy

Xavier Briottet, Aurélie Michel, Véronique Achard, 2020, Remote. Sens..

A REAL-WORLD HYPERSPECTRAL IMAGE PROCESSING WORKFLOW FOR VEGETATION STRESS AND HYDROCARBON INDIRECT DETECTION

Dominique Dubucq, Nicolas Audebert, Anthony Credoz, 2020 .

Direct or indirect on-shore hydrocarbon detection methods applied to hyperspectral data in tropical area

Alexandre Alakian, Philippe Déliot, Dominique Dubucq, 2018, Remote Sensing.

Hydrocarbon Pollution Detection and Mapping Based on the Combination of Various Hyperspectral Imaging Processing Tools

Pierre-Yves Foucher, Dominique Dubucq, Véronique Achard, 2021, Remote. Sens..

A Physics-Based Unmixing Method to Estimate Subpixel Temperatures on Mixed Pixels

Jocelyn Chanussot, Michal Shimoni, Xavier Briottet, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Characterization of hyperspectral images prior to unmixing, based on eigendecompositions and sum-to-one condition

Yannick Deville, Xavier Briottet, Véronique Achard, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

A linear-quadratic unsupervised hyperspectral unmixing method dealing with intra-class variability

Yannick Deville, Xavier Briottet, Véronique Achard, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Spatial/spectral area-wise analysis for the classification of hyperspectral data

Alexandre Alakian, Véronique Achard, Jean-Claude Fort, 2011, Remote Sensing.

Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques

X. Briottet, V. Achard, R. Thoreau, 2023, ISPRS Journal of Photogrammetry and Remote Sensing.

p$^3$VAE: a physics-integrated generative model. Application to the pixel-wise classification of airborne hyperspectral images

B. Berthelot, L. Risser, X. Briottet, 2022, 2210.10418.