World's Best Scientists 2026 revealed!
Jocelyn Chanussot

Jocelyn Chanussot

Award Badge
Computer Science
France
2026

D-Index & Metrics

Computer Science

D-Index
112
Citations
54046
World Ranking
207
National Ranking
6

Research.com Recognitions

  • 2026 - Research.com Computer Science in France Leader Award
  • 2025 - Research.com Computer Science in France Leader Award
  • 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

Overview

Jocelyn Chanussot is affiliated with Grenoble Alpes University in France. Their research primarily focuses on engineering and computer science, with significant contributions in media technology, computer vision and pattern recognition, atmospheric science, artificial intelligence, and aerospace engineering.

The main topics of Chanussot's work include:

  • Remote-Sensing Image Classification
  • Advanced Image Fusion Techniques
  • Remote Sensing and Land Use
  • Image and Signal Denoising Methods
  • Advanced Image and Video Retrieval Techniques
  • Remote Sensing in Agriculture
  • Sparse and Compressive Sensing Techniques

Chanussot has published extensively in several key venues. The most frequent publication outlets feature:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Proceedings of the IEEE
  • IEEE Geoscience and Remote Sensing Letters

Recent papers include:

  • Graph Convolutional Networks for Hyperspectral Image Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers, 2021, arXiv (Cornell University)
  • UIU-Net: U-Net in U-Net for Infrared Small Object Detection, 2022, IEEE Transactions on Image Processing
  • SpectralGPT: Spectral Remote Sensing Foundation Model, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent coauthors in Chanussot's research include:

  • Danfeng Hong
  • Lianru Gao
  • Jing Yao
  • Bing Zhang
  • Gemine Vivone

Chanussot has also contributed to book publications, notably:

  • Hyperspectral Image Analysis, 2020, published by Springer International Publishing

In recognition of their contributions to the field, Chanussot was named an IEEE Fellow in 2012 for work related to data fusion and image processing in remote sensing.

Best Publications

  • Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

    J. M. Bioucas-Dias;A. Plaza;N. Dobigeon;M. Parente

  • Hyperspectral Remote Sensing Data Analysis and Future Challenges

    J. M. Bioucas-Dias;A. Plaza;G. Camps-Valls;P. Scheunders

  • Recent Advances in Techniques for Hyperspectral Image Processing

    Antonio Plaza;Jon Atli Benediktsson;Joseph W. Boardman;Jason Brazile

  • Advances in Spectral-Spatial Classification of Hyperspectral Images

    M. Fauvel;Y. Tarabalka;J. A. Benediktsson;J. Chanussot

  • Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

    M. Fauvel;J.A. Benediktsson;J. Chanussot;J.R. Sveinsson

  • A Critical Comparison Among Pansharpening Algorithms

    Gemine Vivone;Luciano Alparone;Jocelyn Chanussot;Mauro Dalla Mura

  • Graph Convolutional Networks for Hyperspectral Image Classification

    Danfeng Hong;Lianru Gao;Jing Yao;Bing Zhang

  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

    Danfeng Hong;Lianru Gao;Naoto Yokoya;Jing Yao

  • SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers

    Danfeng Hong;Zhu Han;Jing Yao;Lianru Gao

  • More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

    Danfeng Hong;Lianru Gao;Naoto Yokoya;Jing Yao

  • Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest

    L.. Alparone;L.. Wald;J.. Chanussot;C.. Thomas

  • UIU-Net: U-Net in U-Net for Infrared Small Object Detection

    Unknown

  • SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images

    Y Tarabalka;M Fauvel;J Chanussot;J A Benediktsson

  • SpectralGPT: Spectral Remote Sensing Foundation Model

    Unknown

  • Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques

    Y. Tarabalka;J.A. Benediktsson;J. Chanussot

  • Hyperspectral Pansharpening: A Review

    Laetitia Loncan;Luis B. de Almeida;Jose M. Bioucas-Dias;Xavier Briottet

  • Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

    Behnood Rasti;Danfeng Hong;Renlong Hang;Pedram Ghamisi

  • A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization

    Miguel Simoes;Jose Bioucas-Dias;Luis B. Almeida;Jocelyn Chanussot

  • Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics

    C. Thomas;T. Ranchin;L. Wald;J. Chanussot

  • Segmentation and classification of hyperspectral images using watershed transformation

    Y. Tarabalka;J. Chanussot;J. A. Benediktsson

  • Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature

    Naoto Yokoya;Claas Grohnfeldt;Jocelyn Chanussot

  • Scene Classification With Recurrent Attention of VHR Remote Sensing Images

    Qi Wang;Shaoteng Liu;Jocelyn Chanussot;Xuelong Li

  • Deep learning in multimodal remote sensing data fusion: A comprehensive review

    Unknown

  • Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis

    Mauro Dalla Mura;A Villa;J A Benediktsson;J Chanussot

  • Hyperspectral Image Classification With Independent Component Discriminant Analysis

    A. Villa;J. A. Benediktsson;J. Chanussot;C. Jutten

  • A convex formulation for hyperspectral image superresolution via subspace-based regularization

    Miguel Simões;José Bioucas-Dias;Luis B. Almeida;Jocelyn Chanussot

Frequent Co-Authors

Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Mauro Dalla Mura
Mauro Dalla Mura Grenoble Alpes University
Gemine Vivone
Gemine Vivone National Research Council (CNR)
Christian Jutten
Christian Jutten Grenoble Alpes University
Danfeng Hong
Danfeng Hong Chinese Academy of Sciences
Naoto Yokoya
Naoto Yokoya University of Tokyo
Antonio Plaza
Antonio Plaza University of Extremadura
Peijun Du
Peijun Du Nanjing University
Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico
Paolo Gamba
Paolo Gamba University of Pavia

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