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Sebastiano B. Serpico

Sebastiano B. Serpico

D-Index & Metrics

Computer Science

D-Index
43
Citations
8782
World Ranking
7915
National Ranking
207

Research.com Recognitions

  • 2009 - IEEE Fellow For contributions to pattern recognition for remote sensing image analysis

Overview

Sebastiano B. Serpico is affiliated with the University of Genoa in Italy and maintains a research focus primarily within the fields of Engineering and Computer Science. Their scholarly output includes 36 publications in Engineering and 16 within Computer Science, highlighting a multidisciplinary approach to technological and applied research.

The scientist specializes in various subfields, notably Media Technology with 25 publications, Computer Vision and Pattern Recognition with 13 publications, Aerospace Engineering with 6 publications, and both Environmental and Ocean Engineering with 4 publications each.

Key topics addressed in their research include Remote-Sensing Image Classification with 34 publications, Advanced Image Fusion Techniques and Advanced Image and Video Retrieval Techniques with 14 publications each, Remote Sensing and LiDAR Applications with 8 publications, and Remote Sensing in Agriculture along with Automated Road and Building Extraction, both with 6 publications. They also have contributions to Image Retrieval and Classification Techniques.

Frequent coauthors in Serpico's work include:

  • Gabriele Moser (22 collaborations)
  • Martina Pastorino (11 collaborations)
  • Josiane Zerubia (11 collaborations)
  • Luca Maggiolo (6 collaborations)
  • David Solarna (6 collaborations)

Serpico's work is predominantly published in specialized journals and conference proceedings including:

  • IEEE Transactions on Geoscience and Remote Sensing (5 publications)
  • Remote Sensing (4 publications)
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (4 publications)
  • IEEE Geoscience and Remote Sensing Letters (2 publications)
  • Journal of Marine Science and Engineering (1 publication)

Recent papers authored or coauthored by Serpico include:

  • Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • 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
  • A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Crater Detection and Registration of Planetary Images Through Marked Point Processes, Multiscale Decomposition, and Region-Based Analysis, 2020, IEEE Transactions on Geoscience and Remote Sensing

Serpico was recognized as an IEEE Fellow in 2009 for contributions to pattern recognition for remote sensing image analysis.

Best Publications

  • Image fusion techniques for remote sensing applications

    Giovanni Simone;Alfonso Farina;Francesco Carlo Morabito;Sebastiano B. Serpico

  • A new search algorithm for feature selection in hyperspectral remote sensing images

    S.B. Serpico;L. Bruzzone

  • An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images

    L. Bruzzone;S.B. Serpico

  • 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

  • A neural-statistical approach to multitemporal and multisource remote-sensing image classification

    L. Bruzzone;D.F. Prieto;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

  • An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection

    L. Bruzzone;F. Roli;S.B. Serpico

  • 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

  • Classification of multisensor remote-sensing images by structured neural networks

    S.B. Serpico;F. Roli

  • 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

  • A Markov random field approach to spatio-temporal contextual image classification

    F. Melgani;S.B. Serpico

  • 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

  • An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images

    S. B. Serpico;L. Bruzzone;F. Roli

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

    G. Moser;S.B. Serpico

  • A Technique for Feature Selection in Multiclass Problems

    L. Bruzzone;Sebastiano Serpico

Frequent Co-Authors

Gabriele Moser
Gabriele Moser University of Genoa
Josiane Zerubia
Josiane Zerubia French Institute for Research in Computer Science and Automation - INRIA
Fabio Roli
Fabio Roli University of Genoa
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Farid Melgani
Farid Melgani University of Trento
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Carlo S. Regazzoni
Carlo S. Regazzoni University of Genoa
William J. Emery
William J. Emery University of Colorado Boulder
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)

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