2023 - Research.com Computer Science in France Leader Award
2022 - Research.com Computer Science in France Leader Award
2012 - IEEE Fellow For contributions to data fusion and image processing for remote sensing
Her study on Mathematical analysis is mostly dedicated to connecting different topics, such as Inverse problem and Subspace topology. Her Inverse problem study frequently involves adjacent topics like Mathematical analysis. Her Artificial intelligence study frequently draws connections to adjacent fields such as Segmentation. Her study ties her expertise on Image segmentation together with the subject of Segmentation. She carries out multidisciplinary research, doing studies in Hyperspectral imaging and Full spectral imaging. She carries out multidisciplinary research, doing studies in Full spectral imaging and Hyperspectral imaging. By researching both Remote sensing and Spatial analysis, she produces research that crosses academic boundaries. Her work often combines Spatial analysis and Remote sensing studies. Her Pattern recognition (psychology) study frequently links to adjacent areas such as Artificial intelligence.
Jocelyn Chanussot conducted interdisciplinary study in her works that combined Artificial intelligence and Algorithm. In her study, she carries out multidisciplinary Algorithm and Artificial intelligence research. Jocelyn Chanussot connects Remote sensing with Hyperspectral imaging in her research. Jocelyn Chanussot undertakes interdisciplinary study in the fields of Hyperspectral imaging and Remote sensing through her works. Computer vision is closely attributed to Image resolution in her research. Image resolution is closely attributed to Computer vision in her study. Image (mathematics) is often connected to Contextual image classification in her work. Contextual image classification is frequently linked to Image (mathematics) in her study.
Her Image (mathematics) study falls within the topics of Noise (video) and Contextual image classification. Her Noise (video) study frequently draws connections to other fields, such as Image (mathematics). Artificial intelligence is frequently linked to Sensor fusion in her study. Data science and Machine learning are two areas of study in which she engages in interdisciplinary work. She merges many fields, such as Machine learning and Deep learning, in her writings. Pattern recognition (psychology) is frequently linked to Artificial intelligence in her study. World Wide Web connects with themes related to Multimodality in her study. Many of her studies involve connections with topics such as World Wide Web and Multimodality. She regularly links together related areas like Computer vision in her Filter (signal processing) studies.
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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
J. M. Bioucas-Dias;A. Plaza;N. Dobigeon;M. Parente.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2012)
Recent Advances in Techniques for Hyperspectral Image Processing
Antonio Plaza;Jon Atli Benediktsson;Joseph W. Boardman;Jason Brazile.
Remote Sensing of Environment (2009)
Hyperspectral Remote Sensing Data Analysis and Future Challenges
J. M. Bioucas-Dias;A. Plaza;G. Camps-Valls;P. Scheunders.
IEEE Geoscience and Remote Sensing Magazine (2013)
Advances in Spectral-Spatial Classification of Hyperspectral Images
M. Fauvel;Y. Tarabalka;J. A. Benediktsson;J. Chanussot.
Proceedings of the IEEE (2013)
Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles
M. Fauvel;J.A. Benediktsson;J. Chanussot;J.R. Sveinsson.
IEEE Transactions on Geoscience and Remote Sensing (2008)
A Critical Comparison Among Pansharpening Algorithms
Gemine Vivone;Luciano Alparone;Jocelyn Chanussot;Mauro Dalla Mura.
IEEE Transactions on Geoscience and Remote Sensing (2015)
Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest
L.. Alparone;L.. Wald;J.. Chanussot;C.. Thomas.
IEEE Transactions on Geoscience and Remote Sensing (2007)
Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques
Y. Tarabalka;J.A. Benediktsson;J. Chanussot.
IEEE Transactions on Geoscience and Remote Sensing (2009)
SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images
Y Tarabalka;M Fauvel;J Chanussot;J A Benediktsson.
IEEE Geoscience and Remote Sensing Letters (2010)
Segmentation and classification of hyperspectral images using watershed transformation
Y. Tarabalka;J. Chanussot;J. A. Benediktsson.
Pattern Recognition (2010)
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