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Paul Scheunders

Paul Scheunders

D-Index & Metrics

Computer Science

D-Index
50
Citations
11524
World Ranking
5560
National Ranking
62

Overview

Paul Scheunders is affiliated with the University of Antwerp in Belgium and specializes in engineering, with a strong focus on media technology as a subfield. Their research contributions extend to several related subfields including ecology, analytical chemistry, atmospheric science, and computer vision and pattern recognition.

The scientist's work covers key topics such as remote-sensing image classification, advanced image fusion techniques, remote sensing in agriculture, spectroscopy and chemometric analyses, remote sensing and land use, leaf properties and growth measurement, and image and signal denoising methods.

Paul Scheunders has contributed multiple papers to notable publication venues which reflect their research focus. Frequent venues include:

  • IEEE Transactions on Geoscience and Remote Sensing (12 publications)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (5 publications)
  • arXiv (Cornell University) (5 publications)
  • Remote Sensing (4 publications)
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (4 publications)

Recent publications by Paul Scheunders demonstrate ongoing activity in hyperspectral unmixing and related remote sensing techniques, including:

  • "Hyperspectral Unmixing Using Transformer Network," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "UnDIP: Hyperspectral Unmixing Using Deep Image Prior," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress," 2022, Computers and Electronics in Agriculture
  • "HapkeCNN: Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network," 2022, IEEE Transactions on Geoscience and Remote Sensing

The scientist has collaborated frequently with several researchers, including:

  • Bikram Koirala (23 joint publications)
  • Behnood Rasti (17 joint publications)
  • Pedram Ghamisi (6 joint publications)
  • Richard Gloaguen (6 joint publications)
  • Thomas De Kerf (5 joint publications)

In addition to journal articles, Paul Scheunders has contributed to book publications, including authorship in a volume published by Springer Science+Business Media titled "Advanced Concepts for Intelligent Vision Systems" in 2020.

Best Publications

  • Hyperspectral Remote Sensing Data Analysis and Future Challenges

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

  • Statistical texture characterization from discrete wavelet representations

    G. Van de Wouwer;P. Scheunders;D. Van Dyck

  • Maximum-likelihood estimation of Rician distribution parameters

    J. Sijbers;A.J. den Dekker;P. Scheunders;D. Van Dyck

  • Noise Reduction in Hyperspectral Imagery: Overview and Application

    Behnood Rasti;Paul Scheunders;Pedram Ghamisi;Giorgio Licciardi

  • Close range hyperspectral imaging of plants: A review

    Puneet Mishra;Puneet Mishra;Mohd Shahrimie Mohd Asaari;Ana Herrero-Langreo;Santosh Lohumi

  • A genetic c-means clustering algorithm applied to color image quantization

    Paul Scheunders

  • Noise-Resistant Wavelet-Based Bayesian Fusion of Multispectral and Hyperspectral Images

    Yifan Zhang;S. De Backer;P. Scheunders

  • Watershed-based segmentation of 3D MR data for volume quantization

    J. Sijbers;P. Scheunders;M. Verhoye;A. Van der Linden

  • Fully Constrained Least Squares Spectral Unmixing by Simplex Projection

    R. Heylen;D. Burazerovic;P. Scheunders

  • A Multilinear Mixing Model for Nonlinear Spectral Unmixing

    Rob Heylen;Paul Scheunders

  • Wavelet correlation signatures for color texture characterization

    G. Van de Wouwer;P. Scheunders;S Livens;D Van Dyck

  • Semisupervised Local Discriminant Analysis for Feature Extraction in Hyperspectral Images

    Wenzhi Liao;A. Pizurica;P. Scheunders;W. Philips

  • A comparison of clustering algorithms applied to color image quantization

    P. Scheunders

  • A band selection technique for spectral classification

    S. De Backer;P. Kempeneers;W. Debruyn;P. Scheunders

  • Hyperspectral Unmixing Using Transformer Network

    Unknown

  • Non-Linear Spectral Unmixing by Geodesic Simplex Volume Maximization

    R Heylen;D Burazerovic;P Scheunders

  • Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform

    Mohd Shahrimie Mohd Asaari;Mohd Shahrimie Mohd Asaari;Puneet Mishra;Stien Mertens;Stijn Dhondt

  • Quantification and improvement of the signal-to-noise ratio in a magnetic resonance image acquisition procedure.

    J. Sijbers;P. Scheunders;N. Bonnet;D. Van Dyck

  • Wavelets for texture analysis, an overview

    S. Livens;P. Scheunders;G. van de Wouwer;D. Van Dyck

  • Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery

    Shixin Yu;Steve De Backer;Paul Scheunders

  • Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery

    P. Kempeneers;P. J. Zarco-Tejada;P. R. J. North;S. de Backer

  • Wavelets for texture analysis: an overview

    S. Livens;P. Scheunders;G. van de Wouwer;P. Vautrot

  • Noise-Resistant Wavelet-B ased Bayesian Fusion of Multispectral and Hyperspectral Images

    Yifan Zhang;Steve De Backer;Paul Scheunders

Frequent Co-Authors

Wilfried Philips
Wilfried Philips Ghent University
Jan Sijbers
Jan Sijbers University of Antwerp
Pol Coppin
Pol Coppin KU Leuven
Aleksandra Pizurica
Aleksandra Pizurica Ghent University
Wenzhi Liao
Wenzhi Liao Ghent University
Koen Hufkens
Koen Hufkens Ghent University
Lammert Kooistra
Lammert Kooistra Wageningen University & Research
Johan Driesen
Johan Driesen KU Leuven
Pablo J. Zarco-Tejada
Pablo J. Zarco-Tejada Spanish National Research Council
Paul D. Gader
Paul D. Gader University of Florida

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