Claudio Persello

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 62

Top Venues

University of Trento, Italy (PHD)

Education History

University of Trento, Italy

PHD

Publications

Weiqin Jiao, Hao Cheng, Claudio Persello, George Vosselman
RoIPoly: Vectorized Building Outline Extraction Using Vertex and Logit Embeddings. CoRR (2024)
Carlos Campoverde, Mila Koeva, Claudio Persello, Konstantin Maslov, Weiqin Jiao, Dessislava Petrova-Antonova
Automatic Building Roof Plane Extraction in Urban Environments for 3D City Modelling Using Remote Sensing Data. Remote. Sens. 16 (8) (2024)
Wufan Zhao, Claudio Persello, Xianwei Lv, Alfred Stein, Maarten Vergauwen
Vectorizing planar roof structure from very high resolution remote sensing images using transformers. Int. J. Digit. Earth 17 (1) (2024)
Pedram Ghamisi, Weikang Yu, Andrea Marinoni, Caroline M. Gevaert, Claudio Persello, Sivasakthy Selvakumaran, Manuela Girotto, Benjamin P. Horton, Philippe Rufin, Patrick Hostert, Fabio Pacifici, Peter M. Atkinson
Responsible AI for Earth Observation. CoRR (2024)
Weiqin Jiao, Claudio Persello, George Vosselman
PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction. CoRR (2024)
Guozhang Liu, Baochai Peng, Ting Liu, Pan Zhang, Mengke Yuan, Chaoran Lu, Ningning Cao, Sen Zhang, Simin Huang, Tao Wang, Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang, Kaiqiang Chen, Zhiyuan Yan, Deke Tang, Hai Huang, Michael Schmitt, Xian Sun, Gemine Vivone, Claudio Persello, Ronny Hänsch
Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred Stein
Towards Global Glacier Mapping with Deep Learning and Open Earth Observation Data. CoRR (2024)
Wen Zhou, Claudio Persello, Alfred Stein
Hierarchical building use classification from multiple modalities with a multi-label multimodal transformer network. Int. J. Appl. Earth Obs. Geoinformation 132 (2024)
Xianwei Lv, Claudio Persello, Xiao Huang, Dongping Ming, Alfred Stein
DeepMerge: Deep Learning-Based Region-Merging for Image Segmentation. CoRR (2023)
Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred Stein
GLAVITU: A Hybrid CNN-Transformer for Multi-Regional Glacier Mapping from Multi-Source Data. IGARSS (2023)
Paulo Silva Filho, Claudio Persello, Raian Vargas Maretto, Renato Machado
Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data. IGARSS (2023)
Bedru Tareke, Mila Koeva, Claudio Persello
Extracting Polygons of Visible Cadastral Boundaries Using Deep Learning. IGARSS (2023)
Wufan Zhao, Claudio Persello, Xianwei Lv, Alfred Stein
Vectorizing Planar Roof Structure From Very High Resolution Remote Sensing Images Using Transformers. IGARSS (2023)
Wen Zhou, Claudio Persello, Alfred Stein
Building Usage Classification Using a Transformer-based Multimodal Deep Learning Method. JURSE (2023)
Wufan Zhao, Claudio Persello, Hu Ding, Alfred Stein
Learning General Representations for Semantic Segmentation and Height Estimation from Remote Sensing Images. JURSE (2023)
Claudio Persello, Jeroen Grift, Xinyan Fan, Claudia Paris, Ronny Hänsch, Mila Koeva, Andrew Nelson
AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Debvrat Varshney, Claudio Persello, Prasun Kumar Gupta, Bhaskar Ramachandra Nikam
Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images. CoRR (2022)
Mila Koeva, Rohan Bennett, Claudio Persello
Remote Sensing for Land Administration 2.0. Remote. Sens. 14 (17) (2022)
Adugna G. Mullissa, Claudio Persello, Johannes Reiche
Despeckling Polarimetric SAR Data Using a Multistream Complex-Valued Fully Convolutional Network. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Nasir Farsad Layegh, Roshanak Darvishzadeh, Andrew K. Skidmore, Claudio Persello, Nina Krüger
Integrating Semi-Supervised Learning with an Expert System for Vegetation Cover Classification Using Sentinel-2 and RapidEye Data. Remote. Sens. 14 (15) (2022)
Monika Kuffer, Dana R. Thomson, Andrew Maki, Sabine Vanhuysse, Stefanos Georganos, Richard Sliuzas, Claudio Persello
EO-Based Low-Cost Frameworks to Address Global Urban Data GAPS on Deprivation and Multiple Hazards. IGARSS (2021)
Wufan Zhao, Claudio Persello, Alfred Stein
End-to-End Roofline Extraction from Very-High-Resolution Remote Sensing Images. IGARSS (2021)
Monika Kuffer, Karin Pfeffer, Claudio Persello
Special Issue "Remote-Sensing-Based Urban Planning Indicators". Remote. Sens. 13 (7) (2021)
Xiaoyu Sun, Wufan Zhao, Raian Vargas Maretto, Claudio Persello
Building Polygon Extraction from Aerial Images and Digital Surface Models with a Frame Field Learning Framework. Remote. Sens. 13 (22) (2021)
Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, Devis Tuia, Pedram Ghamisi, Mila Koeva, Gustau Camps-Valls
Deep Learning and Earth Observation to Support the Sustainable Development Goals. CoRR (2021)
Devis Tuia, Claudio Persello, Lorenzo Bruzzone
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data. CoRR (2021)
Wufan Zhao, Claudio Persello, Alfred Stein
Building Instance Segmentation and Boundary Regularization from High-Resolution Remote Sensing Images. IGARSS (2020)
Khairiya Mudrik Masoud, Claudio Persello, Valentyn A. Tolpekin
Delineation of Agricultural Field Boundaries from Sentinel-2 Images Using a Novel Super-Resolution Contour Detector Based on Fully Convolutional Networks. Remote. Sens. 12 (1) (2020)
Caroline M. Gevaert, Claudio Persello, Richard Sliuzas, George Vosselman
Monitoring household upgrading in unplanned settlements with unmanned aerial vehicles. Int. J. Appl. Earth Obs. Geoinformation 90 (2020)
Claudio Persello, Monika Kuffer
Towards Uncovering Socio-Economic Inequalities Using VHR Satellite Images and Deep Learning. IGARSS (2020)
Ruoyun Liu, Monika Kuffer, Claudio Persello
The Temporal Dynamics of Slums Employing a CNN-Based Change Detection Approach. Remote. Sens. 11 (23) (2019)
Xue Xia, Claudio Persello, Mila Koeva
Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images. Remote. Sens. 11 (14) (2019)
Adugna G. Mullissa, Claudio Persello, Alfred Stein
PolSARNet: A Deep Fully Convolutional Network for Polarimetric SAR Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (12) (2019)
Zhenchao Zhang, George Vosselman, Markus Gerke, Claudio Persello, Devis Tuia, Michael Ying Yang
Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data. Remote. Sens. 11 (20) (2019)
Debvrat Varshney, Prasun Kumar Gupta, Claudio Persello, Bhaskar Ramachandra Nikam
Deep Convolutional Networks for Cloud Detection Using Resourcesat-2 Data. IGARSS (2019)
Monika Kuffer, Claudio Persello, Karin Pfeffer, Richard Sliuzas, Vinodkumar Rao
Do we underestimate the global slum population? JURSE (2019)
Xue Xia, Mila Koeva, Claudio Persello
Extracting Cadastral Boundaries from UAV Images Using Fully Convolutional Networks. IGARSS (2019)
Alireza Ajami, Monika Kuffer, Claudio Persello, Karin Pfeffer
Identifying a Slums' Degree of Deprivation from VHR Images Using Convolutional Neural Networks. Remote. Sens. 11 (11) (2019)
Claudio Persello, Valentyn A. Tolpekin, John Ray Bergado, Rolf A. de By
Towards Automated Delineation of Smallholder Farm Fields From VHR Images Using Convolutional Networks. IGARSS (2019)
Henri Debray, Monika Kuffer, Claudio Persello, Christien Klaufus, Karin Pfeffer
Detection of Informal Graveyards in Lima using Fully Convolutional Network with VHR Images. JURSE (2019)
Caroline M. Gevaert, Richard Sliuzas, Claudio Persello, George Vosselman
Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects. ISPRS Int. J. Geo Inf. 7 (3) (2018)
Adugna G. Mullissa, Claudio Persello, Valentyn A. Tolpekin
Fully Convolutional Networks for Multi-Temporal SAR Image Classification. IGARSS (2018)
John Ray Bergado, Claudio Persello, Alfred Stein
Fusenet: End- to-End Multispectral Vhr Image Fusion and Classification. IGARSS (2018)
Aldino Rizaldy, Claudio Persello, Caroline Gevaert, Sander Oude Elberink, George Vosselman
Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks. Remote. Sens. 10 (11) (2018)
John Ray Bergado, Claudio Persello, Alfred Stein
Recurrent Multiresolution Convolutional Networks for VHR Image Classification. IEEE Trans. Geosci. Remote. Sens. 56 (11) (2018)
Alim Samat, Claudio Persello, Sicong Liu, Erzhu Li, Zelang Miao, Jilili Abuduwaili
Classification of VHR Multispectral Images Using ExtraTrees and Maximally Stable Extremal Region-Guided Morphological Profile. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (9) (2018)
Gina Leonita, Monika Kuffer, Richard Sliuzas, Claudio Persello
Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia. Remote. Sens. 10 (10) (2018)
John Ray Bergado, Claudio Persello, Alfred Stein
Recurrent Multiresolution Convolutional Networks for VHR Image Classification. CoRR (2018)
Caroline M. Gevaert, Claudio Persello, Sander Oude Elberink, George Vosselman, Richard Sliuzas
Context-Based Filtering of Noisy Labels for Automatic Basemap Updating From UAV Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (8) (2018)
Monika Kuffer, Jiong Wang, Michael Nagenborg, Karin Pfeffer, Divyani Kohli, Richard Sliuzas, Claudio Persello
The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator. ISPRS Int. J. Geo Inf. 7 (11) (2018)
Richard Sliuzas, Monika Kuffer, Caroline Gevaert, Claudio Persello, Karin Pfeffer
Slum mapping. JURSE (2017)
Caroline Gevaert, Claudio Persello, Sander Oude Elberink, George Vosselman, Richard Sliuzas
An automated technique for basemap updating using UAV data. JURSE (2017)
Nicholus Mboga, Claudio Persello, John Ray Bergado, Alfred Stein
Detection of informal settlements from VHR satellite images using convolutional neural networks. IGARSS (2017)
Alim Samat, Claudio Persello, Paolo Gamba, Sicong Liu, Jilili Abuduwaili, Erzhu Li
Supervised and Semi-Supervised Multi-View Canonical Correlation Analysis Ensemble for Heterogeneous Domain Adaptation in Remote Sensing Image Classification. Remote. Sens. 9 (4) (2017)
Nicholus Mboga, Claudio Persello, John Ray Bergado, Alfred Stein
Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks. Remote. Sens. 9 (11) (2017)
Carolyne Danilla, Claudio Persello, Valentyn A. Tolpekin, John Ray Bergado
Classification of multitemporal SAR images using convolutional neural networks and Markov random fields. IGARSS (2017)
Claudio Persello, Alfred Stein
Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images. IEEE Geosci. Remote. Sens. Lett. 14 (12) (2017)
John Ray Bergado, Claudio Persello, Caroline Gevaert
A deep learning approach to the classification of sub-decimetre resolution aerial images. IGARSS (2016)
Claudio Persello, Lorenzo Bruzzone
Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning. IEEE Trans. Geosci. Remote. Sens. 54 (5) (2016)
Zhihua Xu, Claudio Persello, Mengmeng Li, Lixin Wu, Pengtianhao Wu
Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys. IGARSS (2016)
Caroline M. Gevaert, Claudio Persello, George Vosselman
Optimizing Multiple Kernel Learning for the Classification of UAV Data. Remote. Sens. 8 (12) (2016)
Caroline Gevaert, Claudio Persello, Richard Sliuzas, George Vosselman
Integration of 2D and 3D features from UAV imagery for informal settlement classification using Multiple Kernel Learning. IGARSS (2016)
Claudio Persello, Lorenzo Bruzzone
Relevant and invariant feature selection of hyperspectral images for domain generalization. IGARSS (2014)
Claudio Persello, Lorenzo Bruzzone
Active and Semisupervised Learning for the Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 52 (11) (2014)
Claudio Persello, Abdeslam Boularias, Michele Dalponte, Terje Gobakken, Erik Næsset, Bernhard Schölkopf
Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification. IEEE Trans. Geosci. Remote. Sens. 52 (10) (2014)
Claudio Persello
Interactive Domain Adaptation for the Classification of Remote Sensing Images Using Active Learning. IEEE Geosci. Remote. Sens. Lett. 10 (4) (2013)
Claudio Persello, Michele Dalponte, Terje Gobakken, Erik Næsset
Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images. IGARSS (2013)
Claudio Persello, Lorenzo Bruzzone
Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 50 (11) (2012)
Claudio Persello, Francesco Dinuzzo
Interactive domain adaptation technique for the classification of remote sensing images. IGARSS (2012)
Begüm Demir, Claudio Persello, Lorenzo Bruzzone
Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 49 (3) (2011)
Claudio Persello, Lorenzo Bruzzone
A novel active learning strategy for domain adaptation in the classification of remote sensing images. IGARSS (2011)
Lorenzo Bruzzone, Claudio Persello
Recent trends in classification of remote sensing data: active and semisupervised machine learning paradigms. IGARSS (2010)
Claudio Persello, Lorenzo Bruzzone
A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images. IEEE Trans. Geosci. Remote. Sens. 48 (3-1) (2010)
Lorenzo Bruzzone, Claudio Persello
A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability. IEEE Trans. Geosci. Remote. Sens. 47 (9) (2009)
Lorenzo Bruzzone, Claudio Persello
A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples. IEEE Trans. Geosci. Remote. Sens. 47 (7-2) (2009)
Lorenzo Bruzzone, Claudio Persello
Active Learning for Classification of Remote Sensing Images. IGARSS (3) (2009)
Claudio Persello, Lorenzo Bruzzone
A Novel Approach to the Selection of Spatially Invariant Features for Classification of Hyperspectral Images. IGARSS (2) (2009)
Lorenzo Bruzzone, Claudio Persello
A Novel Approach to the Selection of Robust and Invariant Features for Classification of Hyperspectral Images. IGARSS (1) (2008)
Lorenzo Bruzzone, Claudio Persello
A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Multispectral and SAR Images. IGARSS (2) (2008)
Lorenzo Bruzzone, Mattia Marconcini, Claudio Persello
Fusion of spectral and spatial information by a novel SVM classification technique. IGARSS (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Claudio Persello