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Computer Science

D-Index
35
Citations
4896
World Ranking
11745
National Ranking
218

Overview

Claudio Persello is affiliated with the University of Twente in the Netherlands. Their research spans several fields, primarily within engineering and environmental science. The subfields most associated with their work include media technology, environmental engineering, global and planetary change, ocean engineering, and computer vision and pattern recognition.

The research topics Claudio Persello addresses cover a range of areas within remote sensing and its applications. These include remote sensing and LiDAR applications, remote-sensing image classification, automated road and building extraction, 3D surveying and cultural heritage, land use and ecosystem services, the impact of light on environment and health, and remote sensing in agriculture.

Frequent publication venues for Claudio Persello reflect a focus on remote sensing and photogrammetry. They have contributed extensively to the ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Geoscience and Remote Sensing Magazine, arXiv (Cornell University), Remote Sensing, and the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Claudio Persello has collaborated multiple times with several coauthors, including Alfred Stein, Ronny Hänsch, Mila Koeva, Wufan Zhao, and Gemine Vivone.

The scientist's recent publications demonstrate their engagement with current challenges and techniques in remote sensing and earth observation. Notable papers include:

  • "Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities," 2022, IEEE Geoscience and Remote Sensing Magazine
  • "UAV in the advent of the twenties: Where we stand and what is next," 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework," 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Predicting wildfire burns from big geodata using deep learning," 2021, Safety Science
  • "Extracting planar roof structures from very high resolution images using graph neural networks," 2022, ISPRS Journal of Photogrammetry and Remote Sensing

Best Publications

  • Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances

    Devis Tuia;Claudio Persello;Lorenzo Bruzzone

  • Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images

    B Demir;C Persello;L Bruzzone

  • Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images

    Claudio Persello;Alfred Stein

  • Active and Semisupervised Learning for the Classification of Remote Sensing Images

    Claudio Persello;Lorenzo Bruzzone

  • Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities

    Unknown

  • Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping.

    C. Persello;V.A. Tolpekin;J.R. Bergado;R.A. de By

  • A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples

    L. Bruzzone;C. Persello

  • A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability

    L. Bruzzone;C. Persello

  • Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images

    C. Persello;L. Bruzzone

  • Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks

    Nicholus Mboga;Claudio Persello;John Ray Bergado;Alfred Stein

  • Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning

    Claudio Persello;Lorenzo Bruzzone

  • A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images

    C. Persello;L. Bruzzone

  • Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework

    Wufan Zhao;Claudio Persello;Alfred Stein

  • Informal settlement classification using point-cloud and image-based features from UAV data

    C.M. Gevaert;C. Persello;R.V. Sliuzas;G. Vosselman

  • Delineation of Agricultural Field Boundaries from Sentinel-2 Images Using a Novel Super-Resolution Contour Detector Based on Fully Convolutional Networks

    Khairiya Mudrik Masoud;Claudio Persello;Valentyn A. Tolpekin

  • The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator

    Monika Kuffer;Jiong Wang;Michael Nagenborg;Karin Pfeffer

  • The Temporal Dynamics of Slums Employing a CNN-Based Change Detection Approach

    Ruoyun Liu;Monika Kuffer;Claudio Persello

  • Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data.

    Devis Tuia;Claudio Persello;Lorenzo Bruzzone

  • Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia

    Gina Leonita;Monika Kuffer;Richard Sliuzas;Claudio Persello

  • Extracting planar roof structures from very high resolution images using graph neural networks

    Unknown

  • A deep learning approach to DTM extraction from imagery using rule-based training labels

    C.M. Gevaert;C. Persello;F. Nex;G. Vosselman

  • Interactive Domain Adaptation for the Classification of Remote Sensing Images Using Active Learning

    C. Persello

  • Recurrent Multiresolution Convolutional Networks for VHR Image Classification

    John Ray Bergado;Claudio Persello;Alfred Stein

Frequent Co-Authors

Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
George Vosselman
George Vosselman University of Twente
Alfred Stein
Alfred Stein University of Twente
Devis Tuia
Devis Tuia École Polytechnique Fédérale de Lausanne
Francesco Nex
Francesco Nex University of Twente
Erik Næsset
Erik Næsset Norwegian University of Life Sciences
Terje Gobakken
Terje Gobakken Norwegian University of Life Sciences
Michael Ying Yang
Michael Ying Yang University of Bath
Hannes Taubenböck
Hannes Taubenböck German Aerospace Center
Jorge Jovicich
Jorge Jovicich University of Trento

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