Claudio Persello

Orcid: 0000-0003-3742-5398

Affiliations:
  • University of Twente, Enschede, The Netherlands


According to our database1, Claudio Persello authored at least 74 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Vectorizing planar roof structure from very high resolution remote sensing images using transformers.
Int. J. Digit. Earth, December, 2024

Towards Global Glacier Mapping with Deep Learning and Open Earth Observation Data.
CoRR, 2024

2023
AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms.
IEEE Geosci. Remote. Sens. Lett., 2023

DeepMerge: Deep Learning-Based Region-Merging for Image Segmentation.
CoRR, 2023

Building Usage Classification Using a Transformer-based Multimodal Deep Learning Method.
Proceedings of the Joint Urban Remote Sensing Event, 2023

Learning General Representations for Semantic Segmentation and Height Estimation from Remote Sensing Images.
Proceedings of the Joint Urban Remote Sensing Event, 2023

Vectorizing Planar Roof Structure From Very High Resolution Remote Sensing Images Using Transformers.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Extracting Polygons of Visible Cadastral Boundaries Using Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

GLAVITU: A Hybrid CNN-Transformer for Multi-Regional Glacier Mapping from Multi-Source Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Integrating Semi-Supervised Learning with an Expert System for Vegetation Cover Classification Using Sentinel-2 and RapidEye Data.
Remote. Sens., 2022

Remote Sensing for Land Administration 2.0.
Remote. Sens., 2022

Despeckling Polarimetric SAR Data Using a Multistream Complex-Valued Fully Convolutional Network.
IEEE Geosci. Remote. Sens. Lett., 2022

Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images.
CoRR, 2022

2021
Building Polygon Extraction from Aerial Images and Digital Surface Models with a Frame Field Learning Framework.
Remote. Sens., 2021

Special Issue "Remote-Sensing-Based Urban Planning Indicators".
Remote. Sens., 2021

Deep Learning and Earth Observation to Support the Sustainable Development Goals.
CoRR, 2021

Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data.
CoRR, 2021

End-to-End Roofline Extraction from Very-High-Resolution Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

EO-Based Low-Cost Frameworks to Address Global Urban Data GAPS on Deprivation and Multiple Hazards.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Delineation of Agricultural Field Boundaries from Sentinel-2 Images Using a Novel Super-Resolution Contour Detector Based on Fully Convolutional Networks.
Remote. Sens., 2020

Monitoring household upgrading in unplanned settlements with unmanned aerial vehicles.
Int. J. Appl. Earth Obs. Geoinformation, 2020

Building Instance Segmentation and Boundary Regularization from High-Resolution Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Towards Uncovering Socio-Economic Inequalities Using VHR Satellite Images and Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
PolSARNet: A Deep Fully Convolutional Network for Polarimetric SAR Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data.
Remote. Sens., 2019

Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images.
Remote. Sens., 2019

The Temporal Dynamics of Slums Employing a CNN-Based Change Detection Approach.
Remote. Sens., 2019

Identifying a Slums' Degree of Deprivation from VHR Images Using Convolutional Neural Networks.
Remote. Sens., 2019

Do we underestimate the global slum population?
Proceedings of the Joint Urban Remote Sensing Event, 2019

Detection of Informal Graveyards in Lima using Fully Convolutional Network with VHR Images.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Extracting Cadastral Boundaries from UAV Images Using Fully Convolutional Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Deep Convolutional Networks for Cloud Detection Using Resourcesat-2 Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Towards Automated Delineation of Smallholder Farm Fields From VHR Images Using Convolutional Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Recurrent Multiresolution Convolutional Networks for VHR Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2018

Classification of VHR Multispectral Images Using ExtraTrees and Maximally Stable Extremal Region-Guided Morphological Profile.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Context-Based Filtering of Noisy Labels for Automatic Basemap Updating From UAV Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks.
Remote. Sens., 2018

Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia.
Remote. Sens., 2018

The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator.
ISPRS Int. J. Geo Inf., 2018

Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects.
ISPRS Int. J. Geo Inf., 2018

Fully Convolutional Networks for Multi-Temporal SAR Image Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Fusenet: End- to-End Multispectral Vhr Image Fusion and Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Supervised and Semi-Supervised Multi-View Canonical Correlation Analysis Ensemble for Heterogeneous Domain Adaptation in Remote Sensing Image Classification.
Remote. Sens., 2017

Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks.
Remote. Sens., 2017

Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images.
IEEE Geosci. Remote. Sens. Lett., 2017

Slum mapping.
Proceedings of the Joint Urban Remote Sensing Event, 2017

An automated technique for basemap updating using UAV data.
Proceedings of the Joint Urban Remote Sensing Event, 2017

Detection of informal settlements from VHR satellite images using convolutional neural networks.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Classification of multitemporal SAR images using convolutional neural networks and Markov random fields.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning.
IEEE Trans. Geosci. Remote. Sens., 2016

Optimizing Multiple Kernel Learning for the Classification of UAV Data.
Remote. Sens., 2016

Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Integration of 2D and 3D features from UAV imagery for informal settlement classification using Multiple Kernel Learning.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

A deep learning approach to the classification of sub-decimetre resolution aerial images.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2014
Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification.
IEEE Trans. Geosci. Remote. Sens., 2014

Active and Semisupervised Learning for the Classification of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2014

Relevant and invariant feature selection of hyperspectral images for domain generalization.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Interactive Domain Adaptation for the Classification of Remote Sensing Images Using Active Learning.
IEEE Geosci. Remote. Sens. Lett., 2013

Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2012

Interactive domain adaptation technique for the classification of remote sensing images.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2011

A novel active learning strategy for domain adaptation in the classification of remote sensing images.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images.
PhD thesis, 2010

A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images.
IEEE Trans. Geosci. Remote. Sens., 2010

Recent trends in classification of remote sensing data: active and semisupervised machine learning paradigms.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
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., 2009

A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples.
IEEE Trans. Geosci. Remote. Sens., 2009

A Novel Approach to the Selection of Spatially Invariant Features for Classification of Hyperspectral Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Active Learning for Classification of Remote Sensing Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
A Novel Approach to the Selection of Robust and Invariant Features for Classification of Hyperspectral Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Multispectral and SAR Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007
Fusion of spectral and spatial information by a novel SVM classification technique.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007


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