Claudio Persello

发表

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

Lorenzo Bruzzone, Claudio Persello, L. Bruzzone, 2009, IEEE Transactions on Geoscience and Remote Sensing.

Fully Convolutional Networks for Multi-Temporal SAR Image Classification

Valentyn Tolpekin, Claudio Persello, Adugna G. Mullissa, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

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

Monika Kuffer, Claudio Persello, Ruoyun Liu, 2019, Remote. Sens..

Slum mapping

Monika Kuffer, Claudio Persello, Karin Pfeffer, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Detection of Informal Graveyards in Lima using Fully Convolutional Network with VHR Images

Monika Kuffer, Claudio Persello, Karin Pfeffer, 2019, 2019 Joint Urban Remote Sensing Event (JURSE).

Classification of multitemporal SAR images using convolutional neural networks and Markov random fields

Valentyn Tolpekin, Claudio Persello, Carolyne Danilla, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Approaches Based on Support Vector Machine to Classification of Remote Sensing Data

Lorenzo Bruzzone, Claudio Persello, C. H. Chen, 2010 .

Context-Based Filtering of Noisy Labels for Automatic Basemap Updating From UAV Data

George Vosselman, Sander Oude Elberink, Claudio Persello, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Classification of VHR Multispectral Images Using ExtraTrees and Maximally Stable Extremal Region-Guided Morphological Profile

Sicong Liu, Claudio Persello, Erzhu Li, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Automatic building extraction from UAV data : poster

George Vosselman, Claudio Persello, Richard Sliuzas, 2015 .

Fusenet: End- to-End Multispectral Vhr Image Fusion and Classification

Alfred Stein, Claudio Persello, John Ray Bergado, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

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

George Vosselman, Claudio Persello, Francesco Carlo Nex, 2018 .

Informal settlement mapping with UAV : powerpoint

George Vosselman, Claudio Persello, Richard Sliuzas, 2015 .

A Novel Approach to the Selection of Robust and Invariant Features for Classification of Hyperspectral Images

Lorenzo Bruzzone, Claudio Persello, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Unsupervised semantic change detection in informal settlements using UAV imagery

George Vosselman, Claudio Persello, Richard Sliuzas, 2018 .

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

Lorenzo Bruzzone, Claudio Persello, L. Bruzzone, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Interactive domain adaptation technique for the classification of remote sensing images

Claudio Persello, Francesco Dinuzzo, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

A deep learning approach to the classification of sub-decimetre resolution aerial images

Claudio Persello, Caroline Gevaert, John Ray Bergado, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A novel active learning strategy for domain adaptation in the classification of remote sensing images

Lorenzo Bruzzone, Claudio Persello, L. Bruzzone, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Monitoring household upgrading in unplanned settlements with unmanned aerial vehicles

George Vosselman, Claudio Persello, Richard Sliuzas, 2020, Int. J. Appl. Earth Obs. Geoinformation.

Recurrent Multiresolution Convolutional Networks for VHR Image Classification

Alfred Stein, Claudio Persello, John Ray Bergado, 2018, IEEE Transactions on Geoscience and Remote Sensing.

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

Lorenzo Bruzzone, Claudio Persello, L. Bruzzone, 2010, IEEE Transactions on Geoscience and Remote Sensing.

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

Paolo Gamba, Sicong Liu, Claudio Persello, 2017, Remote. Sens..

A Deep Learning Approach to DTM Extraction from Imagery Using Rule-Based Training Labels : powerpoint.

George Vosselman, Claudio Persello, Francesco Carlo Nex, 2017 .

Towards Automated Delineation of Smallholder Farm Fields From VHR Images Using Convolutional Networks

Valentyn Tolpekin, Claudio Persello, Rolf A. de By, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Fusion of spectral and spatial information by a novel SVM classification technique

Lorenzo Bruzzone, Claudio Persello, Mattia Marconcini, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Active versus semi-supervised learning paradigm for the classification of remote sensing images

Lorenzo Bruzzone, Claudio Persello, 2011, Remote Sensing.

Optimizing Multiple Kernel Learning for the Classification of UAV Data

George Vosselman, Claudio Persello, Caroline M. Gevaert, 2016, Remote. Sens..

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

Monika Kuffer, Claudio Persello, Richard Sliuzas, 2018, Remote. Sens..

Identifying a Slums' Degree of Deprivation from VHR Images Using Convolutional Neural Networks

Monika Kuffer, Claudio Persello, Karin Pfeffer, 2019, Remote. Sens..

Relevant and invariant feature selection of hyperspectral images for domain generalization

Lorenzo Bruzzone, Claudio Persello, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Extracting Cadastral Boundaries from UAV Images Using Fully Convolutional Networks

Mila Koeva, Claudio Persello, Xue Xia, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images

Claudio Persello, C. Persello, 2010 .

AUTOMATED CO-REGISTRATION OF INTRA-EPOCH AND INTER-EPOCH SERIES OF MULTISPECTRAL UAV IMAGES FOR CROP MONITORING

Claudio Persello, Francesco Nex, P. O. Mc’Okeyo, 2020, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Recent trends in classification of remote sensing data: active and semisupervised machine learning paradigms

Lorenzo Bruzzone, Claudio Persello, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

A novel approach to the selection of spatially invariant features for classification of hyperspectral images

Lorenzo Bruzzone, Claudio Persello, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

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

Alfred Stein, Claudio Persello, A. Stein, 2017, IEEE Geoscience and Remote Sensing Letters.

Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images

Michele Dalponte, Terje Gobakken, Claudio Persello, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

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

Claudio Persello, Valentyn A. Tolpekin, Khairiya Mudrik Masoud, 2019, Remote. Sens..

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

Lorenzo Bruzzone, Claudio Persello, L. Bruzzone, 2009, IEEE Transactions on Geoscience and Remote Sensing.

CHANGE DETECTION BETWEEN DIGITAL SURFACE MODELS FROM AIRBORNE LASER SCANNING AND DENSE IMAGE MATCHING USING CONVOLUTIONAL NEURAL NETWORKS

Michael Ying Yang, Zhenchao Zhang, George Vosselman, 2019, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data

Michael Ying Yang, Zhenchao Zhang, George Vosselman, 2019, Remote. Sens..

An automated technique for basemap updating using UAV data

George Vosselman, Sander Oude Elberink, Claudio Persello, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Deep Convolutional Networks for Cloud Detection Using Resourcesat-2 Data

Claudio Persello, Debvrat Varshney, Prasun Kumar Gupta, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys

Lixin Wu, Claudio Persello, Mengmeng Li, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Fully Convolutional Networks for Ground Classification from Airborne Laser Scanner data

S. J. Oude Elberink, George Vosselman, Claudio Persello, 2018 .

PolSARNet: A Deep Fully Convolutional Network for Polarimetric SAR Image Classification

Alfred Stein, Claudio Persello, Adugna G. Mullissa, 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

BUILDING OUTLINE DELINEATION: FROM VERY HIGH RESOLUTION REMOTE SENSING IMAGERY TO POLYGONS WITH AN IMPROVED END-TO-END LEARNING FRAMEWORK

Alfred Stein, Claudio Persello, I. Ivanov, 2020 .

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

Lorenzo Bruzzone, Devis Tuia, Claudio Persello, 2016, IEEE Geoscience and Remote Sensing Magazine.

Classification of informal settlements through the integration of 2D and 3D features extracted from UAV data

George Vosselman, Claudio Persello, Richard Sliuzas, 2016 .

Do we underestimate the global slum population?

Monika Kuffer, Claudio Persello, Karin Pfeffer, 2019, 2019 Joint Urban Remote Sensing Event (JURSE).

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

Lorenzo Bruzzone, Claudio Persello, L. Bruzzone, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Evaluation of ForestPA for VHR RS image classification using spectral and superpixel-guided morphological profiles

Claudio Persello, Erzhu Li, Alim Samat, 2019 .

A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Multispectral and SAR Images

Lorenzo Bruzzone, Claudio Persello, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks

Alfred Stein, Claudio Persello, John Ray Bergado, 2017, Remote. Sens..

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

Claudio Persello, C. Persello, 2013, IEEE Geoscience and Remote Sensing Letters.

Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification

Bernhard Schölkopf, Michele Dalponte, Terje Gobakken, 2014, IEEE Transactions on Geoscience and Remote Sensing.

SNOW AND CLOUD DISCRIMINATION USING CONVOLUTIONAL NEURAL NETWORKS

Claudio Persello, Bhaskar R. Nikam, D. Varshney, 2018, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Active and Semisupervised Learning for the Classification of Remote Sensing Images

Lorenzo Bruzzone, Claudio Persello, L. Bruzzone, 2014, IEEE Transactions on Geoscience and Remote Sensing.

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

George Vosselman, Claudio Persello, Richard Sliuzas, 2017 .

Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images

Claudio Persello, Xue Xia, Mila Koeva, 2019, Remote. Sens..

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

Lorenzo Bruzzone, Begüm Demir, Claudio Persello, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Integration of 2D and 3D features from UAV imagery for informal settlement classification using Multiple Kernel Learning

George Vosselman, Claudio Persello, Richard Sliuzas, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

FULLY CONVOLUTIONAL NETWORKS FOR GROUND CLASSIFICATION FROM LIDAR POINT CLOUDS

S. J. Oude Elberink, Claudio Persello, C. M. Gevaert, 2018 .

Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects

George Vosselman, Claudio Persello, Richard Sliuzas, 2018, ISPRS Int. J. Geo Inf..

Detection of informal settlements from VHR satellite images using convolutional neural networks

Alfred Stein, Claudio Persello, John Ray Bergado, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

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

Monika Kuffer, Divyani Kohli, Claudio Persello, 2018, ISPRS Int. J. Geo Inf..

Active learning for classification of remote sensing images

Lorenzo Bruzzone, Claudio Persello, L. Bruzzone, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks

George Vosselman, Sander Oude Elberink, Claudio Persello, 2018, Remote. Sens..

Active learning methods in classification of remote sensing images

Lorenzo Bruzzone, Claudio Persello, Begum Demir, 2012 .

Automatic classification of brain resting states using fMRI temporal signals

Lorenzo Bruzzone, Simon Robinson, Claudio Persello, 2009 .

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

Lorenzo Bruzzone, Devis Tuia, Claudio Persello, 2021, ArXiv.

Special Issue "Remote-Sensing-Based Urban Planning Indicators"

Monika Kuffer, Claudio Persello, Karin Pfeffer, 2021, Remote. Sens..

Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images

Claudio Persello, Debvrat Varshney, Prasun Kumar Gupta, 2022, ArXiv.

Predicting wildfire burns from big geodata using deep learning

Claudio Persello, John Ray Bergado, Karin Reinke, 2021 .

The New Working Groups of the GRSS Technical Committee on Image Analysis and Data Fusion [Technical Committees]

Naoto Yokoya, Michael Schmitt, Gemine Vivone, 2021, IEEE Geoscience and Remote Sensing Magazine.

End-to-End Roofline Extraction from Very-High-Resolution Remote Sensing Images

Claudio Persello, Alfred Stein, Wufan Zhao, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

EO-Based Low-Cost Frameworks to Address Global Urban Data GAPS on Deprivation and Multiple Hazards

Sabine Vanhuysse, Monika Kuffer, Claudio Persello, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

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

Alfred Stein, Claudio Persello, Wufan Zhao, 2021, ISPRS Journal of Photogrammetry and Remote Sensing.

Building Polygon Extraction from Aerial Images and Digital Surface Models with a Frame Field Learning Framework

Claudio Persello, Xiaoyu Sun, Wufan Zhao, 2021, Remote. Sens..

Deep Learning and Earth Observation to Support the Sustainable Development Goals pdf

Jan Dirk Wegner, Pedram Ghamisi, Gustau Camps-Valls, 2021, ArXiv.

Despeckling Polarimetric SAR Data Using a Multistream Complex-Valued Fully Convolutional Network

Claudio Persello, Adugna G. Mullissa, Johannes Reiche, 2021, IEEE Geoscience and Remote Sensing Letters.