D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 77 Citations 28,383 463 World Ranking 528 National Ranking 7

Research.com Recognitions

Awards & Achievements

2012 - IEEE Fellow For contributions to data fusion and image processing for remote sensing

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

Her primary areas of investigation include Artificial intelligence, Hyperspectral imaging, Pattern recognition, Contextual image classification and Image resolution. Her Artificial intelligence course of study focuses on Computer vision and Matching. The concepts of her Hyperspectral imaging study are interwoven with issues in Image processing, Subspace topology and Support vector machine.

Her Pattern recognition research integrates issues from Mathematical morphology and Spatial analysis. Her Contextual image classification research includes themes of Full spectral imaging, Feature vector and Linear discriminant analysis. Her Multispectral image research incorporates elements of Multiresolution analysis, Feature learning and Sensor fusion.

Her most cited work include:

  • Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches (1760 citations)
  • Recent Advances in Techniques for Hyperspectral Image Processing (1191 citations)
  • Hyperspectral Remote Sensing Data Analysis and Future Challenges (952 citations)

What are the main themes of her work throughout her whole career to date?

Jocelyn Chanussot mainly focuses on Artificial intelligence, Hyperspectral imaging, Pattern recognition, Computer vision and Remote sensing. Artificial intelligence is represented through her Image resolution, Pixel, Multispectral image, Feature extraction and Contextual image classification research. Her research integrates issues of Spectral resolution, Image fusion, Convolutional neural network and Superresolution in her study of Image resolution.

Her Multispectral image research is multidisciplinary, relying on both Subspace topology and Sensor fusion. Her biological study spans a wide range of topics, including Image processing, Algorithm, Spectral signature and Spatial analysis. Pattern recognition is closely attributed to Image in her research.

She most often published in these fields:

  • Artificial intelligence (67.87%)
  • Hyperspectral imaging (53.11%)
  • Pattern recognition (48.52%)

What were the highlights of her more recent work (between 2019-2021)?

  • Artificial intelligence (67.87%)
  • Hyperspectral imaging (53.11%)
  • Pattern recognition (48.52%)

In recent papers she was focusing on the following fields of study:

The scientist’s investigation covers issues in Artificial intelligence, Hyperspectral imaging, Pattern recognition, Image resolution and Multispectral image. In Artificial intelligence, Jocelyn Chanussot works on issues like Graph, which are connected to Laplacian matrix. Her Hyperspectral imaging study necessitates a more in-depth grasp of Remote sensing.

Her Remote sensing research focuses on subjects like Earth observation, which are linked to Transfer of learning. Her Pattern recognition study combines topics from a wide range of disciplines, such as Matrix decomposition, Embedding, Feature and Graph. She combines subjects such as Iterative reconstruction and Superresolution with her study of Image resolution.

Between 2019 and 2021, her most popular works were:

  • Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox (61 citations)
  • Graph Convolutional Networks for Hyperspectral Image Classification (50 citations)
  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification (49 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Machine learning

Jocelyn Chanussot mostly deals with Hyperspectral imaging, Artificial intelligence, Pattern recognition, Image resolution and Multispectral image. Her Hyperspectral imaging research incorporates themes from Pixel, Algorithm, Spectral signature, Iterative reconstruction and Sensor fusion. Her Artificial intelligence study frequently draws connections to other fields, such as Graph.

Her Pattern recognition study incorporates themes from Image processing and Feature. Her Image resolution study integrates concerns from other disciplines, such as Regularization, Sparse matrix and Superresolution. In her study, Earth observation and Transfer of learning is inextricably linked to Remote sensing, which falls within the broad field of Deep learning.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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)

1985 Citations

Recent Advances in Techniques for Hyperspectral Image Processing

Antonio Plaza;Jon Atli Benediktsson;Joseph W. Boardman;Jason Brazile.
Remote Sensing of Environment (2009)

1494 Citations

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)

1062 Citations

Advances in Spectral-Spatial Classification of Hyperspectral Images

M. Fauvel;Y. Tarabalka;J. A. Benediktsson;J. Chanussot.
Proceedings of the IEEE (2013)

1024 Citations

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)

1021 Citations

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)

737 Citations

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)

721 Citations

A Critical Comparison Among Pansharpening Algorithms

Gemine Vivone;Luciano Alparone;Jocelyn Chanussot;Mauro Dalla Mura.
IEEE Transactions on Geoscience and Remote Sensing (2015)

694 Citations

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)

629 Citations

Segmentation and classification of hyperspectral images using watershed transformation

Y. Tarabalka;J. Chanussot;J. A. Benediktsson.
Pattern Recognition (2010)

561 Citations

Best Scientists Citing Jocelyn Chanussot

Antonio Plaza

Antonio Plaza

University of Extremadura

Publications: 274

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 201

Jon Atli Benediktsson

Jon Atli Benediktsson

University of Iceland

Publications: 151

Jun Li

Jun Li

Sun Yat-sen University

Publications: 140

Jose M. Bioucas-Dias

Jose M. Bioucas-Dias

Instituto Superior Técnico

Publications: 127

Qian Du

Qian Du

Mississippi State University

Publications: 112

Hassan Ghassemian

Hassan Ghassemian

Tarbiat Modares University

Publications: 104

Nicolas Dobigeon

Nicolas Dobigeon

Federal University of Toulouse Midi-Pyrénées

Publications: 98

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 88

Devis Tuia

Devis Tuia

École Polytechnique Fédérale de Lausanne

Publications: 77

Xiuping Jia

Xiuping Jia

UNSW Sydney

Publications: 77

Shutao Li

Shutao Li

Hunan University

Publications: 71

Yanfei Zhong

Yanfei Zhong

Wuhan University

Publications: 69

Pedram Ghamisi

Pedram Ghamisi

Helmholtz-Zentrum Dresden-Rossendorf

Publications: 68

Bo Du

Bo Du

Wuhan University

Publications: 66

Paolo Gamba

Paolo Gamba

University of Pavia

Publications: 62

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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