World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Spain
2026

D-Index & Metrics

Computer Science

D-Index
104
Citations
52653
World Ranking
306
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Computer Science in Spain Leader Award
  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2023 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2020 - Member of Academia Europaea
  • 2015 - IEEE Fellow For contributions to hyperspectral data processing and parallel computing of Earth observation data

Overview

Antonio Plaza is affiliated with the University of Extremadura in Spain. Their research primarily focuses on fields including Engineering and Computer Science, with significant contributions spanning both broad and specialized areas.

The main fields of study for Antonio Plaza include:

  • Engineering
  • Computer Science

Within these fields, their subfields of study include:

  • Media Technology
  • Computer Vision and Pattern Recognition
  • Atmospheric Science
  • Artificial Intelligence
  • Ecology

Antonio Plaza's work covers several key topics, such as:

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

The scientist has published extensively in high-impact venues, with frequent publications in:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Magazine
  • Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters

Recent papers include:

  • Graph Convolutional Networks for Hyperspectral Image Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers, 2021, arXiv (Cornell University)
  • SpectralGPT: Spectral Remote Sensing Foundation Model, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection, 2023, IEEE Transactions on Geoscience and Remote Sensing
  • Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval, 2022, IEEE Transactions on Geoscience and Remote Sensing

Frequent co-authors in their scholarly work include:

  • Jun Li
  • Mercedes E. Paoletti
  • Juan M. Haut
  • Bing Tu
  • Jocelyn Chanussot

Antonio Plaza has received recognition including being named an IEEE Fellow in 2015 for contributions to hyperspectral data processing and parallel computing of Earth observation data. In 2020, they were also elected as a Member of Academia Europaea.

Best Publications

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

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

  • Image Segmentation Using Deep Learning: A Survey.

    Shervin Minaee;Yuri Y. Boykov;Fatih Porikli;Antonio J Plaza

  • 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

  • Graph Convolutional Networks for Hyperspectral Image Classification

    Danfeng Hong;Lianru Gao;Jing Yao;Bing Zhang

  • Sparse Unmixing of Hyperspectral Data

    Marian-Daniel Iordache;J M Bioucas-Dias;A Plaza

  • SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers

    Danfeng Hong;Zhu Han;Jing Yao;Lianru Gao

  • Deep learning classifiers for hyperspectral imaging: A review

    M.E. Paoletti;J.M. Haut;J. Plaza;A. Plaza

  • Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors

    J.A. Sobrino;J.C. Jimenez-Muoz;G. Soria;M. Romaguera

  • Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

    Pedram Ghamisi;Naoto Yokoya;Jun Li;Wenzhi Liao

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

    A. Plaza;P. Martinez;R. Perez;J. Plaza

  • Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

    M.-D Iordache;J. M. Bioucas-Dias;A. Plaza

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

    Jun Li;J. M. Bioucas-Dias;A. Plaza

  • Spatial/spectral endmember extraction by multidimensional morphological operations

    A. Plaza;P. Martinez;R. Perez;J. Plaza

  • Advanced Spectral Classifiers for Hyperspectral Images: A review

    Pedram Ghamisi;Javier Plaza;Yushi Chen;Jun Li

  • Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning

    Jun Li;José M Bioucas-Dias;Antonio Plaza

  • A new deep convolutional neural network for fast hyperspectral image classification

    M.E. Paoletti;J.M. Haut;J. Plaza;A. Plaza

  • Big Data for Remote Sensing: Challenges and Opportunities

    Mingmin Chi;Antonio Plaza;Jon Atli Benediktsson;Zhongyi Sun

  • Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation

    Yang Xu;Zebin Wu;Jun Li;Antonio Plaza

  • Generalized Composite Kernel Framework for Hyperspectral Image Classification

    Jun Li;Prashanth Reddy Marpu;Antonio Plaza;Jose M. Bioucas-Dias

  • Collaborative Sparse Regression for Hyperspectral Unmixing

    Marian-Daniel Iordache;Jose M. Bioucas-Dias;Antonio Plaza

  • A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing

    Wing-Kin Ma;Jose M. Bioucas-Dias;Tsung-Han Chan;Nicolas Gillis

Frequent Co-Authors

Javier Plaza
Javier Plaza University of Extremadura
Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico
Paolo Gamba
Paolo Gamba University of Pavia
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Chein-I Chang
Chein-I Chang University of Maryland, Baltimore County
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Lianru Gao
Lianru Gao Aerospace Information Research Institute
Filiberto Pla
Filiberto Pla Jaume I University
Shutao Li
Shutao Li Hunan University
Qian Du
Qian Du Mississippi State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education in Computer Science can open up many opportunities for flexible and affordable learning. If you're looking to accelerate your studies, consider fastest masters degree online programs that allow you to earn your degree in a shorter period of time. These options are ideal for career-changers or those eager to advance quickly in their field.

With technology rapidly evolving, choosing one of the most useful masters degrees can provide a competitive edge and align your studies with high-demand job markets.

For those just starting or seeking foundational knowledge, an associates degree online offers a flexible and approachable entry point into the Computer Science field.

Additionally, cost is a major consideration for many students. Looking for the cheapest online degrees can help you minimize debt while still accessing quality education, making advanced study more accessible than ever.

Best Scientists Citing Antonio Plaza

Trending Scientists