World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9858
World Ranking
7125
National Ranking
174

Overview

Gemine Vivone is affiliated with the National Research Council (CNR) in Italy. Their research primarily focuses on engineering and computer science, with numerous contributions to the fields of media technology, computer vision and pattern recognition, global and planetary change, biomedical engineering, and atmospheric science.

The core topics of Vivone's work include advanced image fusion techniques, remote-sensing image classification, image and signal denoising methods, image enhancement techniques, photoacoustic and ultrasonic imaging, advanced image processing techniques, and atmospheric aerosols and clouds.

Vivone has contributed extensively to research published in notable venues such as:

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

Recent representative publications 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
  • Multispectral and hyperspectral image fusion in remote sensing: A survey, 2022, Information Fusion

Frequent collaborators in Vivone's research include Jocelyn Chanussot, Liang-Jian Deng, Ting-Zhu Huang, Simone Lolli, and Giuseppe Scarpa. These collective efforts have resulted in significant contributions across multiple papers and advanced techniques in their areas of study.

Best Publications

  • A Critical Comparison Among Pansharpening Algorithms

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

  • Hyperspectral Pansharpening: A Review

    Laetitia Loncan;Luis B. de Almeida;Jose M. Bioucas-Dias;Xavier Briottet

  • Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening

    Gemine Vivone;Rocco Restaino;Mauro Dalla Mura;Giorgio Licciardi

  • 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

  • Full Scale Regression-Based Injection Coefficients for Panchromatic Sharpening

    Gemine Vivone;Rocco Restaino;Jocelyn Chanussot

  • Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening

    Liang-Jian Deng;Gemine Vivone;Cheng Jin;Jocelyn Chanussot

  • Robust Band-Dependent Spatial-Detail Approaches for Panchromatic Sharpening

    Gemine Vivone

  • Machine Learning in Pansharpening: A benchmark, from shallow to deep networks

    Unknown

  • Multispectral and hyperspectral image fusion in remote sensing: A survey

    Unknown

  • Fusformer: A Transformer-Based Fusion Network for Hyperspectral Image Super-Resolution

    Unknown

  • A Pansharpening Method Based on the Sparse Representation of Injected Details

    Maria Rosaria Vicinanza;Rocco Restaino;Gemine Vivone;Mauro Dalla Mura

  • Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks.

    Jin-Fan Hu;Ting-Zhu Huang;Liang-Jian Deng;Tai-Xiang Jiang

  • Fusion of Multispectral and Panchromatic Images Based on Morphological Operators

    Rocco Restaino;Gemine Vivone;Mauro Dalla Mura;Jocelyn Chanussot

  • CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging

    Unknown

  • GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution

    Unknown

  • Haze Correction for Contrast-Based Multispectral Pansharpening

    Simone Lolli;Luciano Alparone;Andrea Garzelli;Gemine Vivone

  • Context-Adaptive Pansharpening Based on Image Segmentation

    Rocco Restaino;Mauro Dalla Mura;Gemine Vivone;Jocelyn Chanussot

  • PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion

    Unknown

  • Pansharpening Based on Semiblind Deconvolution

    Gemine Vivone;Miguel Simoes;Mauro Dalla Mura;Rocco Restaino

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

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

  • Joint Probabilistic Data Association Tracker for Extended Target Tracking Applied to X-Band Marine Radar Data

    Gemine Vivone;Paolo Braca

  • A Regression-Based High-Pass Modulation Pansharpening Approach

    Gemine Vivone;Rocco Restaino;Jocelyn Chanussot

  • Knowledge-Based Multitarget Ship Tracking for HF Surface Wave Radar Systems

    Gemine Vivone;Paolo Braca;Jochen Horstmann

  • Multiple Extended Target Tracking for Through-Wall Radars

    Gianluca Gennarelli;Gemine Vivone;Paolo Braca;Francesco Soldovieri

  • Laplacian pyramid networks: A new approach for multispectral pansharpening

    Cheng Jin;Liang-Jian Deng;Ting-Zhu Huang;Gemine Vivone

  • A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function

    Liang-Jian Deng;Gemine Vivone;Weihong Guo;Mauro Dalla Mura

Frequent Co-Authors

Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Paolo Braca
Paolo Braca North Atlantic Treaty Organization
Mauro Dalla Mura
Mauro Dalla Mura Grenoble Alpes University
Luciano Alparone
Luciano Alparone University of Florence
Andrea Garzelli
Andrea Garzelli University of Siena
Karl Granstrom
Karl Granstrom Chalmers University of Technology
Ellsworth J. Welton
Ellsworth J. Welton Goddard Space Flight Center
Ting-Zhu Huang
Ting-Zhu Huang University of Electronic Science and Technology of China
Gelsomina Pappalardo
Gelsomina Pappalardo National Research Council (CNR)
Peter Willett
Peter Willett University of Connecticut

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