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 83 Citations 29,852 521 World Ranking 372 National Ranking 4

Research.com Recognitions

Awards & Achievements

2020 - Member of Academia Europaea

2015 - IEEE Fellow For contributions to hyperspectral data processing and parallel computing of Earth observation data

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Hyperspectral imaging, Artificial intelligence, Pattern recognition, Pixel and Remote sensing are his primary areas of study. His Hyperspectral imaging research is multidisciplinary, incorporating elements of Contextual image classification, Feature extraction, Spatial analysis and Spectral signature. Artificial intelligence connects with themes related to Computer vision in his study.

His studies deal with areas such as Subspace topology, Posterior probability and Curse of dimensionality as well as Pattern recognition. His work on Endmember as part of general Pixel study is frequently connected to Set, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Antonio Plaza has researched Remote sensing in several fields, including Information extraction and Normalized Difference Vegetation Index.

His 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 his work throughout his whole career to date?

Antonio Plaza mainly focuses on Hyperspectral imaging, Artificial intelligence, Pattern recognition, Pixel and Computer vision. His work on Endmember and Full spectral imaging as part of general Hyperspectral imaging research is frequently linked to Imaging spectrometer, bridging the gap between disciplines. His Endmember research is multidisciplinary, relying on both Mixture model and Data set.

His Artificial intelligence study combines topics from a wide range of disciplines, such as Spectral signature and Spatial analysis. His Pattern recognition research integrates issues from Subspace topology and Image. His work deals with themes such as Image resolution, Data mining and Remote sensing application, which intersect with Pixel.

He most often published in these fields:

  • Hyperspectral imaging (75.12%)
  • Artificial intelligence (61.56%)
  • Pattern recognition (45.14%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (61.56%)
  • Hyperspectral imaging (75.12%)
  • Pattern recognition (45.14%)

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

Antonio Plaza mostly deals with Artificial intelligence, Hyperspectral imaging, Pattern recognition, Convolutional neural network and Remote sensing. His Artificial intelligence study is mostly concerned with Feature extraction, Deep learning, Image, Image resolution and Visualization. His research on Hyperspectral imaging focuses in particular on Endmember.

Antonio Plaza interconnects Contextual image classification, Hyperspectral image classification, Pixel and Overfitting in the investigation of issues within Pattern recognition. His studies in Convolutional neural network integrate themes in fields like Feature learning, Kernel, Discriminative model, Kernel and Image retrieval. His Remote sensing research is multidisciplinary, incorporating perspectives in Pooling and Feature.

Between 2017 and 2021, his most popular works were:

  • Image Segmentation Using Deep Learning: A Survey (107 citations)
  • Deep learning classifiers for hyperspectral imaging: A review (105 citations)
  • Capsule Networks for Hyperspectral Image Classification (86 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary areas of investigation include Artificial intelligence, Hyperspectral imaging, Pattern recognition, Convolutional neural network and Feature extraction. His biological study spans a wide range of topics, including Machine learning and Key. His Hyperspectral imaging research is mostly focused on the topic Endmember.

The concepts of his Pattern recognition study are interwoven with issues in Topic model, Contextual image classification, Probabilistic logic, Spectral bands and Robustness. His work carried out in the field of Feature extraction brings together such families of science as Feature, Covariance, Support vector machine, Visualization and Remote sensing. His Remote sensing research includes elements of Image resolution and Pooling.

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

Sparse Unmixing of Hyperspectral Data

Marian-Daniel Iordache;J M Bioucas-Dias;A Plaza.
IEEE Transactions on Geoscience and Remote Sensing (2011)

809 Citations

A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data

A. Plaza;P. Martinez;R. Perez;J. Plaza.
IEEE Transactions on Geoscience and Remote Sensing (2004)

731 Citations

Spatial/spectral endmember extraction by multidimensional morphological operations

A. Plaza;P. Martinez;R. Perez;J. Plaza.
IEEE Transactions on Geoscience and Remote Sensing (2002)

664 Citations

Spectral–Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields

Jun Li;J. M. Bioucas-Dias;A. Plaza.
IEEE Transactions on Geoscience and Remote Sensing (2012)

541 Citations

Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

M.-D Iordache;J. M. Bioucas-Dias;A. Plaza.
IEEE Transactions on Geoscience and Remote Sensing (2012)

485 Citations

Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors

J.A. Sobrino;J.C. Jimenez-Muoz;G. Soria;M. Romaguera.
IEEE Transactions on Geoscience and Remote Sensing (2008)

478 Citations

Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning

Jun Li;José M Bioucas-Dias;Antonio Plaza.
IEEE Transactions on Geoscience and Remote Sensing (2010)

438 Citations

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Best Scientists Citing Antonio Plaza

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 182

Jocelyn Chanussot

Jocelyn Chanussot

Grenoble Alpes University

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Qian Du

Qian Du

Mississippi State University

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Jon Atli Benediktsson

Jon Atli Benediktsson

University of Iceland

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Nicolas Dobigeon

Nicolas Dobigeon

Federal University of Toulouse Midi-Pyrénées

Publications: 92

Jose M. Bioucas-Dias

Jose M. Bioucas-Dias

Instituto Superior Técnico

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Shutao Li

Shutao Li

Hunan University

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Bo Du

Bo Du

Wuhan University

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Xiuping Jia

Xiuping Jia

UNSW Sydney

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Hassan Ghassemian

Hassan Ghassemian

Tarbiat Modares University

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Pedram Ghamisi

Pedram Ghamisi

Helmholtz-Zentrum Dresden-Rossendorf

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Chein-I Chang

Chein-I Chang

University of Maryland, Baltimore County

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Yanfei Zhong

Yanfei Zhong

Wuhan University

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Peijun Du

Peijun Du

Ministry of Natural Resources and Forestry

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Licheng Jiao

Licheng Jiao

Xidian University

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Jean-Yves Tourneret

Jean-Yves Tourneret

Federal University of Toulouse Midi-Pyrénées

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