World's Best Scientists 2026 revealed!
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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
14498
World Ranking
3611
National Ranking
68

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to data fusion and remote sensing

Overview

Paolo Gamba is affiliated with the University of Pavia in Italy and has contributed extensively to the field of engineering, focusing primarily on media technology and aerospace engineering, as well as atmospheric science and global and planetary change. Their work spans several disciplines, with a particular emphasis on remote sensing and pattern recognition.

The main topics of Paolo Gamba's research include:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Flood Risk Assessment and Management

Paolo Gamba has authored numerous publications in prominent venues frequently chosen for remote sensing and geoscience research. The main venues include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Geoscience and Remote Sensing Magazine
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • arXiv (Cornell University)
  • Remote Sensing

Notable recent papers include:

  • SpectralGPT: Spectral Remote Sensing Foundation Model, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Exposure model for European seismic risk assessment, 2020, Earthquake Spectra
  • Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Incorporating synthetic aperture radar and optical images to investigate the annual dynamics of anthropogenic impervious surface at large scale, 2020, Remote Sensing of Environment
  • SpectralGPT: Spectral Remote Sensing Foundation Model, 2023, arXiv (Cornell University)

Frequent collaborators of Paolo Gamba include:

  • Irena Hajnsek
  • Silvia Liberata Ullo
  • D Kunkee
  • Lorenzo Bruzzone
  • John P. Kerekes

The researcher's body of work is documented in over 90 publications primarily within engineering, with a notable focus on remote sensing disciplines. Their studies incorporate a range of methodologies from synthetic aperture radar applications to advanced image fusion techniques targeting environmental and earth observation challenges.

Paolo Gamba received recognition as a Fellow of the International Association for Pattern Recognition (IAPR) in 2020 for contributions to data fusion and remote sensing.

Best Publications

  • Recent Advances in Techniques for Hyperspectral Image Processing

    Antonio Plaza;Jon Atli Benediktsson;Joseph W. Boardman;Jason Brazile

  • Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest

    L.. Alparone;L.. Wald;J.. Chanussot;C.. Thomas

  • Multitemporal settlement and population mapping from Landsat using Google Earth Engine

    Nirav N. Patel;Emanuele Angiuli;Paolo Gamba;Andrea Gaughan

  • Multiple Feature Learning for Hyperspectral Image Classification

    Jun Li;Xin Huang;Paolo Gamba;Jose M. Bioucas Bioucas-Dias

  • Exploiting spectral and spatial information in hyperspectral urban data with high resolution

    F. Dell'Acqua;P. Gamba;A. Ferrari;J.A. Palmason

  • DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing

    Yuanchao Su;Jun Li;Antonio Plaza;Andrea Marinoni

  • Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing

    M. Dalla Mura;S. Prasad;F. Pacifici;P. Gamba

  • Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery

    Zhiwei Li;Huanfeng Shen;Huifang Li;Guisong Xia

  • Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning

    Lianru Gao;Danfeng Hong;Jing Yao;Bing Zhang

  • Texture-based characterization of urban environments on satellite SAR images

    F. Dell'Acqua;P. Gamba

  • Remote Sensing and Earthquake Damage Assessment: Experiences, Limits, and Perspectives

    F. Dell'Acqua;P. Gamba

  • Detection and extraction of buildings from interferometric SAR data

    P. Gamba;B. Houshmand;M. Saccani

  • Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest

    G. Licciardi;F. Pacifici;D. Tuia;S. Prasad

  • Fusion of Difference Images for Change Detection Over Urban Areas

    Peijun Du;Sicong Liu;P. Gamba;Kun Tan

  • Neural detection of pipe signatures in ground penetrating radar images

    P. Gamba;S. Lossani

  • Rapid Damage Detection in the Bam Area Using Multitemporal SAR and Exploiting Ancillary Data

    P. Gamba;F. Dell'Acqua;G. Trianni

  • Experimental analysis of RSSI-based indoor localization with IEEE 802.15.4

    Emanuele Goldoni;Alberto Savioli;Marco Risi;Paolo Gamba

  • Electromagnetic detection of dielectric cylinders by a neural network approach

    S. Caorsi;P. Gamba

  • Change Detection of Multitemporal SAR Data in Urban Areas Combining Feature-Based and Pixel-Based Techniques

    P. Gamba;F. Dell'Acqua;G. Lisini

  • Improving urban road extraction in high-resolution images exploiting directional filtering, perceptual grouping, and simple topological concepts

    P. Gamba;F. Dell'Acqua;G. Lisini

  • Detection of urban structures in SAR images by robust fuzzy clustering algorithms: the example of street tracking

    F. Dell'Acqua;P. Gamba

  • Urban Observing Sensors

    Q. Weng;P. Gamba;G. Mountrakis;M. Pesaresi

Frequent Co-Authors

Antonio Plaza
Antonio Plaza University of Extremadura
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Peijun Du
Peijun Du Nanjing University
Andrea Garzelli
Andrea Garzelli University of Siena
Pierfrancesco Lombardo
Pierfrancesco Lombardo Sapienza University of Rome
Yifang Ban
Yifang Ban Royal Institute of Technology
Javier Plaza
Javier Plaza University of Extremadura
Marco Martorella
Marco Martorella University of Birmingham
Lianru Gao
Lianru Gao Aerospace Information Research Institute

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