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Francesca Bovolo

Francesca Bovolo

D-Index & Metrics

Computer Science

D-Index
55
Citations
12026
World Ranking
4319
National Ranking
90

Overview

Francesca Bovolo is affiliated with the Fondazione Bruno Kessler in Italy. Their research spans multiple fields, including Environmental Science, Engineering, and Earth and Planetary Sciences. Within these broad areas, key subfields of study for Francesca Bovolo include Media Technology, Ecology, Atmospheric Science, Computer Vision and Pattern Recognition, and Oceanography.

Their scholarly work covers numerous topics with a focus on Remote-Sensing Image Classification, Remote Sensing in Agriculture, Remote Sensing and Land Use, Marine and Coastal Ecosystems, Remote Sensing and LiDAR Applications, Water Quality Monitoring and Analysis, and Anomaly Detection Techniques and Applications.

Francesca Bovolo has contributed to a variety of journals and conference proceedings. Frequent publication 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
  • Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters

Selected recent papers authored or co-authored by Francesca Bovolo include:

  • Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions, 2021, IEEE Geoscience and Remote Sensing Magazine
  • Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Automatic Pleural Line Extraction and COVID-19 Scoring From Lung Ultrasound Data, 2020, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2, 2020, Remote Sensing
  • Semisupervised Change Detection Using Graph Convolutional Network, 2020, IEEE Geoscience and Remote Sensing Letters

Regular collaborators in Francesca Bovolo's research include Lorenzo Bruzzone, Milad Niroumand-Jadidi, Sudipan Saha, Luca Bergamasco, and Alberto Moreira.

Best Publications

  • A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

    F. Bovolo;L. Bruzzone

  • Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

    Pedram Ghamisi;Behnood Rasti;Naoto Yokoya;Qunming Wang

  • A detail-preserving scale-driven approach to change detection in multitemporal SAR images

    F. Bovolo;L. Bruzzone

  • Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images

    Sudipan Saha;Francesca Bovolo;Lorenzo Bruzzone

  • Fast and Robust Matching for Multimodal Remote Sensing Image Registration

    Yuanxin Ye;Lorenzo Bruzzone;Jie Shan;Francesca Bovolo

  • A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images

    Francesca Bovolo;S. Marchesi;L. Bruzzone

  • A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images

    L. Bruzzone;F. Bovolo

  • A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges

    Sicong Liu;Daniele Marinelli;Lorenzo Bruzzone;Francesca Bovolo

  • A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure

    F. Bovolo;L. Bruzzone;M. Marconcini

  • A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment

    F. Bovolo;L. Bruzzone

  • Supervised change detection in VHR images using contextual information and support vector machines

    Michele Volpi;Devis Tuia;Francesca Bovolo;Mikhail F. Kanevski

  • Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

    Jordi Mũnoz-Marí;Francesca Bovolo;Luis Gómez-Chova;Lorenzo Bruzzone

  • Building Change Detection in Multitemporal Very High Resolution SAR Images

    Carlo Marin;Francesca Bovolo;Lorenzo Bruzzone

  • Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach

    B. Demir;F. Bovolo;L. Bruzzone

  • Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions

    Dawei Wen;Xin Huang;Francesca Bovolo;Jiayi Li

  • A Multilevel Parcel-Based Approach to Change Detection in Very High Resolution Multitemporal Images

    F. Bovolo

  • Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images

    Sicong Liu;Lorenzo Bruzzone;Francesca Bovolo;Massimo Zanetti

  • A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks

    S. Ghosh;L. Bruzzone;S. Patra;F. Bovolo

  • The Time Variable in Data Fusion: A Change Detection Perspective

    Francesca Bovolo;Lorenzo Bruzzone

  • Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images

    Sicong Liu;Lorenzo Bruzzone;Francesca Bovolo;Peijun Du

  • Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding

    Sudipan Saha;Francesca Bovolo;Lorenzo Bruzzone

  • An Unsupervised Technique Based on Morphological Filters for Change Detection in Very High Resolution Images

    M. Dalla Mura;J.A. Benediktsson;F. Bovolo;L. Bruzzone

  • A multilevel parcel-based approach to change detection in very high resolution multitemporal images

    F. Bovolo;L. Bruzzone

Frequent Co-Authors

Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Peijun Du
Peijun Du Nanjing University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Subhasis Chaudhuri
Subhasis Chaudhuri Indian Institute of Technology Bombay
Claudia Notarnicola
Claudia Notarnicola European Academy of Bozen
Roberto Orosei
Roberto Orosei National Institute for Astrophysics
Donald D. Blankenship
Donald D. Blankenship The University of Texas at Austin
Bruce A. Campbell
Bruce A. Campbell Smithsonian Institution
Jeffrey J. Plaut
Jeffrey J. Plaut Jet Propulsion Lab
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia

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