World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
25778
World Ranking
1331
National Ranking
52

Overview

Pedram Ghamisi is affiliated with the Helmholtz-Zentrum Dresden-Rossendorf in Germany. Their research primarily focuses on engineering and computer science, with extensive contributions to media technology, computer vision and pattern recognition, artificial intelligence, atmospheric science, and global and planetary change.

The scientist's work encompasses several main topics, including:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques
  • Advanced Image and Video Retrieval Techniques
  • Remote Sensing in Agriculture
  • Landslides and related hazards
  • Anomaly Detection Techniques and Applications

Pedram Ghamisi's publication record includes a significant number of papers in frequent venues such as:

  • arXiv (Cornell University) - 36 publications
  • IEEE Transactions on Geoscience and Remote Sensing - 35 publications
  • Remote Sensing - 17 publications
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - 16 publications
  • IEEE Geoscience and Remote Sensing Magazine - 13 publications

Recent papers by the scientist include:

  • Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • SpectralGPT: Spectral Remote Sensing Foundation Model, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Classification of Hyperspectral and LiDAR Data Using Coupled CNNs, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • COVID-19 Outbreak Prediction with Machine Learning, 2020, Algorithms
  • Hyperspectral Image Classification With Attention-Aided CNNs, 2020, IEEE Transactions on Geoscience and Remote Sensing

The scientist frequently collaborates with colleagues such as Richard Gloaguen, Naoto Yokoya, Amir Mosavi, Behnood Rasti, and Puhong Duan, with multiple joint publications reflecting a consistent co-authorship pattern.

Best Publications

  • Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

    Yushi Chen;Hanlu Jiang;Chunyang Li;Xiuping Jia

  • Deep Learning for Hyperspectral Image Classification: An Overview

    Shutao Li;Weiwei Song;Leyuan Fang;Yushi Chen

  • Deep Recurrent Neural Networks for Hyperspectral Image Classification

    Unknown

  • Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

    Mohammadreza Sheykhmousa;Masoud Mahdianpari;Hamid Ghanbari;Fariba Mohammadimanesh

  • Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

    Renlong Hang;Qingshan Liu;Danfeng Hong;Pedram Ghamisi

  • SpectralGPT: Spectral Remote Sensing Foundation Model

    Unknown

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

    Pedram Ghamisi;Naoto Yokoya;Jun Li;Wenzhi Liao

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

    Behnood Rasti;Danfeng Hong;Renlong Hang;Pedram Ghamisi

  • Generative Adversarial Networks for Hyperspectral Image Classification

    Lin Zhu;Yushi Chen;Pedram Ghamisi;Jon Atli Benediktsson

  • Advanced Spectral Classifiers for Hyperspectral Images: A review

    Pedram Ghamisi;Javier Plaza;Yushi Chen;Jun Li

  • Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

    Pedram Ghamisi;Behnood Rasti;Naoto Yokoya;Qunming Wang

  • Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization

    Pedram Ghamisi;Jon Atli Benediktsson

  • COVID-19 outbreak prediction with machine learning

    Sina F. Ardabili;Amir Mosavi;Pedram Ghamisi;Filip Ferdinand

  • A Survey on Spectral–Spatial Classification Techniques Based on Attribute Profiles

    Pedram Ghamisi;Mauro Dalla Mura;Jon Atli Benediktsson

  • An efficient method for segmentation of images based on fractional calculus and natural selection

    Pedram Ghamisi;Micael S. Couceiro;JóN Atli Benediktsson;Nuno M. F. Ferreira

  • New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning

    Pedram Ghamisi;Emmanuel Maggiori;Shutao Li;Roberto Souza

  • Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

    Renlong Hang;Zhu Li;Pedram Ghamisi;Danfeng Hong

  • Noise Reduction in Hyperspectral Imagery: Overview and Application

    Behnood Rasti;Paul Scheunders;Pedram Ghamisi;Giorgio Licciardi

  • COVID-19 pandemic prediction for Hungary; A hybrid machine learning approach

    Gergo Pinter;Imre Felde;Amir Mosavi;Pedram Ghamisi

  • Hyperspectral Image Classification With Attention-Aided CNNs

    Renlong Hang;Zhu Li;Qingshan Liu;Pedram Ghamisi

  • Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization

    Pedram Ghamisi;Micael S. Couceiro;Fernando M. L. Martins;Jon Atli Benediktsson

  • Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image Classification

    Lichao Mou;Pedram Ghamisi;Xiao Xiang Zhu

  • Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network

    Yushi Chen;Lin Zhu;Pedram Ghamisi;Xiuping Jia

  • Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

    Danfeng Hong;Xin Wu;Pedram Ghamisi;Jocelyn Chanussot

Frequent Co-Authors

Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Richard Gloaguen
Richard Gloaguen Helmholtz-Zentrum Dresden-Rossendorf
Amir Mosavi
Amir Mosavi Óbuda University
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich
Shutao Li
Shutao Li Hunan University
Naoto Yokoya
Naoto Yokoya University of Tokyo
Xudong Kang
Xudong Kang Hunan University
Leyuan Fang
Leyuan Fang Hunan University
Danfeng Hong
Danfeng Hong Chinese Academy of Sciences
Antonio Plaza
Antonio Plaza University of Extremadura

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

If you’re interested in pursuing Computer Science in the USA, you might also consider related fields that offer flexible online degree programs. Mechanical engineering, for instance, is an in-demand area that often overlaps with computer science and robotics. For those mindful of tuition, exploring the mechanical engineering degree online cost can help you identify budget-friendly options.

Online programs in physics are also available and can be a great fit if you’re interested in theoretical or applied computing. You can learn more about where to earn a physics degree online to enhance your analytical and problem-solving skills.

Data science is another fast-growing career pathway closely tied to computer science. By researching the cheapest data science degree programs, you can find high-quality education at lower costs while gaining skills that employers value.

If you’re drawn to technology and innovation, you might also want to discover the best online electrical engineering programs USA. Each of these related disciplines opens up diverse career opportunities in today’s tech-driven world.

Best Scientists Citing Pedram Ghamisi

Trending Scientists

Recently Published Articles