World's Best Scientists 2026 revealed!
Gabriele Moser

Gabriele Moser

D-Index & Metrics

Computer Science

D-Index
40
Citations
7256
World Ranking
9264
National Ranking
263

Overview

Gabriele Moser is affiliated with the University of Genoa in Italy and has contributed extensively to research in engineering and computer science, particularly in remote sensing and image processing fields.

Their work spans multiple subfields including media technology, computer vision and pattern recognition, atmospheric science, aerospace engineering, and environmental engineering. This interdisciplinary approach supports research in advanced image analysis and classification techniques.

Frequent research topics addressed by Gabriele Moser include:

  • Remote-Sensing Image Classification
  • Advanced Image and Video Retrieval Techniques
  • Advanced Image Fusion Techniques
  • Remote Sensing and Land Use
  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Automated Road and Building Extraction

Moser has published numerous articles in outlets that focus on remote sensing and related disciplines. The most frequent publication venues are:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters

Their recent papers, illustrating the scope and focus of their research, include:

  • "Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection" (2021, IEEE Transactions on Geoscience and Remote Sensing)
  • "Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images" (2022, IEEE Transactions on Neural Networks and Learning Systems)
  • "A goal-driven unsupervised image segmentation method combining graph-based processing and Markov random fields" (2022, Pattern Recognition)
  • "Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional Neural Networks and Hierarchical Probabilistic Graphical Models" (2022, IEEE Transactions on Geoscience and Remote Sensing)
  • "Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles" (2021, Remote Sensing)

Collaboration plays a notable role in Moser's research output. Frequent co-authors include:

  • Sebastiano B. Serpico
  • Martina Pastorino
  • Josiane Zerubia
  • David Solarna
  • Luca Maggiolo

Best Publications

  • Multimodal Classification of Remote Sensing Images: A Review and Future Directions

    Luis Gomez-Chova;Devis Tuia;Gabriele Moser;Gustau Camps-Valls

  • Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery

    G. Moser;S.B. Serpico

  • Partially Supervised classification of remote sensing images through SVM-based probability density estimation

    P. Mantero;G. Moser;S.B. Serpico

  • 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

  • Land-Cover Mapping by Markov Modeling of Spatial–Contextual Information in Very-High-Resolution Remote Sensing Images

    G. Moser;S. B. Serpico;J. A. Benediktsson

  • Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

    Wenzhi Liao;Xin Huang;Frieke Van Coillie;Sidharta Gautama

  • Conditional Copulas for Change Detection in Heterogeneous Remote Sensing Images

    G. Mercier;G. Moser;S.B. Serpico

  • Combining Support Vector Machines and Markov Random Fields in an Integrated Framework for Contextual Image Classification

    Gabriele Moser;Sebastiano B. Serpico

  • SAR amplitude probability density function estimation based on a generalized Gaussian model

    G. Moser;J. Zerubia;S.B. Serpico

  • Extraction of Spectral Channels From Hyperspectral Images for Classification Purposes

    S.B. Serpico;G. Moser

  • Unsupervised change-detection methods for remote-sensing images

    Farid Melgani;Gabriele Moser;Sebastiano Bruno Serpico

  • Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

    Luigi Tommaso Luppino;Michael Kampffmeyer;Filippo Maria Bianchi;Gabriele Moser

  • Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation

    G. Moser;J. Zerubia;S.B. Serpico

  • Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest

    Naoto Yokoya;Pedram Ghamisi;Junshi Xia;Sergey Sukhanov

  • Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images.

    Luigi Tommaso Luppino;Mads A. Hansen;Michael Kampffmeyer;Filippo Maria Bianchi

  • Unsupervised Change Detection From Multichannel SAR Data by Markovian Data Fusion

    G. Moser;S.B. Serpico

  • Unsupervised Image Regression for Heterogeneous Change Detection

    Luigi Tommaso Luppino;Filippo Maria Bianchi;Gabriele Moser;Stian Normann Anfinsen

  • Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest

    Manuel Campos-Taberner;Adriana Romero-Soriano;Carlo Gatta;Gustau Camps-Valls

  • On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation

    Vladimir A. Krylov;Gabriele Moser;Sebastiano B. Serpico;Josiane Zerubia

  • Information Extraction From Remote Sensing Images for Flood Monitoring and Damage Evaluation

    S. B. Serpico;S. Dellepiane;G. Boni;G. Moser

  • Multiscale Unsupervised Change Detection on Optical Images by Markov Random Fields and Wavelets

    G. Moser;E. Angiati;S. B. Serpico

  • Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic

    Vahid Akbari;Stian N. Anfinsen;Anthony P. Doulgeris;Torbjorn Eltoft

Frequent Co-Authors

Sebastiano B. Serpico
Sebastiano B. Serpico University of Genoa
Josiane Zerubia
Josiane Zerubia French Institute for Research in Computer Science and Automation - INRIA
Devis Tuia
Devis Tuia École Polytechnique Fédérale de Lausanne
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Robert Jenssen
Robert Jenssen University of Tromsø - The Arctic University of Norway
Farid Melgani
Farid Melgani University of Trento
Loredana Magistri
Loredana Magistri University of Genoa
Filippo Catani
Filippo Catani University of Padua
William J. Emery
William J. Emery University of Colorado Boulder

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

Exploring computer science in the USA opens the door to a variety of online degree options and career routes. Related fields such as data science are booming, and students seeking affordable pathways can explore data science degrees in the USA, which combine computer science fundamentals with real-world analytics and AI applications.

For those with an interest in hardware and systems, online electrical engineering courses USA offer flexible learning formats. These courses often intersect with computer science concepts, especially in robotics, communications, and embedded systems.

Not every pathway requires a full degree. Many professionals advance their careers through certificate programs that pay well. These programs focus on in-demand tech skills, are cost-effective, and can be completed faster than traditional degrees.

If you’re eager to move forward quickly, consider enrolling in one of the shortest masters degree programs online. These accelerated programs allow you to upskill and enhance your job prospects in less time than a typical graduate track.

Best Scientists Citing Gabriele Moser

Trending Scientists

Recently Published Articles