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Andrea Garzelli

Andrea Garzelli

D-Index & Metrics

Computer Science

D-Index
43
Citations
11240
World Ranking
7822
National Ranking
199

Overview

Andrea Garzelli is affiliated with the University of Siena in Italy. Their research primarily spans the fields of engineering and computer science, with a focus on media technology and computer vision and pattern recognition. The work also touches on aerospace engineering, artificial intelligence, and environmental engineering as important subfields of study.

Their main research topics include advanced image fusion techniques, remote-sensing image classification, image and signal denoising methods, geochemistry and geologic mapping, image enhancement techniques, synthetic aperture radar (SAR) applications and techniques, and remote sensing in agriculture.

Andrea Garzelli has published multiple research papers in recognized venues. Notable recent papers include:

  • A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods (2020, IEEE Geoscience and Remote Sensing Magazine)
  • A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment (2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
  • Full-Resolution Quality Assessment of Pansharpening: Theoretical and hands-on approaches (2022, IEEE Geoscience and Remote Sensing Magazine)
  • Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas (2020, Remote Sensing)
  • Panchromatic and Hyperspectral Image Fusion: Outcome of the 2022 WHISPERS Hyperspectral Pansharpening Challenge (2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)

The frequent coauthors with whom Andrea Garzelli has collaborated include Luciano Alparone, Alberto Arienzo, Gemine Vivone, Jocelyn Chanussot, and Simone Lolli.

Their publications have appeared regularly in several key scientific journals and magazines such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Magazine, Journal of Applied Remote Sensing, and Urban Climate. The distribution of publications shows a strong presence especially in Remote Sensing and IEEE journals focused on applied earth observations and geoscience.

Best Publications

  • A Critical Comparison Among Pansharpening Algorithms

    Gemine Vivone;Luciano Alparone;Jocelyn Chanussot;Mauro Dalla Mura

  • Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis

    B. Aiazzi;L. Alparone;S. Baronti;A. Garzelli

  • MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery

    B Aiazzi;L Alparone;S Baronti;Andrea Garzelli

  • Remote sensing image fusion using the curvelet transform

    Filippo Nencini;Andrea Garzelli;Stefano Baronti;Luciano Alparone

  • Multispectral and panchromatic data fusion assessment without reference

    Luciano Alparone;Bruno Aiazzi;Stefano Baronti;Andrea Garzelli

  • A global quality measurement of pan-sharpened multispectral imagery

    L. Alparone;S. Baronti;A. Garzelli;F. Nencini

  • Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Images

    A. Garzelli;F. Nencini;L. Capobianco

  • Hypercomplex Quality Assessment of Multi/Hyperspectral Images

    A. Garzelli;F. Nencini

  • A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods

    Gemine Vivone;Mauro Dalla Mura;Andrea Garzelli;Rocco Restaino

  • Landsat ETM+ and SAR image fusion based on generalized intensity Modulation

    L. Alparone;S. Baronti;A. Garzelli;F. Nencini

  • Leveraging Multiscale Hessian-Based Enhancement With a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation

    Roberto Annunziata;Andrea Garzelli;Lucia Ballerini;Alessandro Mecocci

  • An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas

    B. Aiazzi;L. Alparone;S. Baronti;A. Garzelli

  • Haze Correction for Contrast-Based Multispectral Pansharpening

    Simone Lolli;Luciano Alparone;Andrea Garzelli;Gemine Vivone

  • A Theoretical Analysis of the Effects of Aliasing and Misregistration on Pansharpened Imagery

    S Baronti;B Aiazzi;M Selva;A Garzelli

  • Interband structure modeling for Pan-sharpening of very high-resolution multispectral images

    Andrea Garzelli;Filippo Nencini

  • Analysis of the Effects of Pansharpening in Change Detection on VHR Images

    F. Bovolo;L. Bruzzone;L. Capobianco;A. Garzelli

  • Spatial Methods for Multispectral Pansharpening: Multiresolution Analysis Demystified

    Luciano Alparone;Stefano Baronti;Bruno Aiazzi;Andrea Garzelli

  • Remote Sensing Image Fusion

    Unknown

  • Pansharpening of Multispectral Images Based on Nonlocal Parameter Optimization

    Andrea Garzelli

  • Remote Sensing Image Fusion

    Luciano Alparone;Bruno Aiazzi;Stefano Baronti;Andrea Garzelli

  • A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment

    Gemine Vivone;Mauro Dalla Mura;Andrea Garzelli;Fabio Pacifici

  • Context-Driven Fusion of High Spatial and Spectral Resolution Images Based on Oversampled

    Bruno Aiazzi;Luciano Alparone;Stefano Baronti;Andrea Garzelli

Frequent Co-Authors

Luciano Alparone
Luciano Alparone University of Florence
Stefano Baronti
Stefano Baronti National Research Council (CNR)
Bruno Aiazzi
Bruno Aiazzi National Research Council (CNR)
Mauro Barni
Mauro Barni University of Siena
Gemine Vivone
Gemine Vivone National Research Council (CNR)
Paolo Gamba
Paolo Gamba University of Pavia
Marco Martorella
Marco Martorella University of Birmingham
Enrico Magli
Enrico Magli Polytechnic University of Turin
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Simonetta Paloscia
Simonetta Paloscia National Research Council (CNR)

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