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ORCIDClaudio Persello
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- affiliation: University of Twente, Enschede, The Netherlands
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2020 – today
- 2024
[j39]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: 104038 (2024)- [j38]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): 1-15 (2024) - [j37]Zhenqi Cui
, Pei Nie, Claudio Persello:
Building Extraction From Very High-Resolution Remote Sensing Image With Few Data. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j36]Ujjwal Verma, Dalton D. Lunga, Ronny Hänsch, Claudio Persello, Silvia Liberata Ullo:
Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals. IEEE Geosci. Remote. Sens. Lett. 21: 1-4 (2024) - [j35]Carlos Campoverde, Mila Koeva, Claudio Persello, Konstantin A. 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): 1386 (2024) - [j34]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: 11194-11207 (2024) - [c36]Konstantin A. Maslov, Thomas Schellenberger, Claudio Persello, Alfred Stein:
Glacier Mapping from Sentinel-1 SAR Time Series with Deep Learning in Svalbard. IGARSS 2024: 14-17 - [c35]Bedru Tareke, Paulo Silva Filho, Claudio Persello, Monika Kuffer, Raian Vargas Maretto, Jon Wang, Ángela Abascal, Priam Pillai, Binti Singh, Juan Manuel D'Attoli, Caroline Kabaria, Julio Cesar Pedrassoli, Patricia Lustosa Brito, Peter Elias, Elio Atenógenes, Andrea Ramírez Santiago:
User and Data-Centric Artificial Intelligence for Mapping Urban Deprivation in Multiple Cities Across the Globe. IGARSS 2024: 1553-1557 - [i9]Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred Stein:
Towards Global Glacier Mapping with Deep Learning and Open Earth Observation Data. CoRR abs/2401.15113 (2024) - [i8]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 abs/2405.20868 (2024) - [i7]Weiqin Jiao, Claudio Persello, George Vosselman:
PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction. CoRR abs/2407.14912 (2024) - [i6]Weiqin Jiao, Hao Cheng, Claudio Persello, George Vosselman:
RoIPoly: Vectorized Building Outline Extraction Using Vertex and Logit Embeddings. CoRR abs/2407.14920 (2024) - 2023
- [j33]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: 1-5 (2023) - [c34]Bedru Tareke, Mila Koeva, Claudio Persello:
Extracting Polygons of Visible Cadastral Boundaries Using Deep Learning. IGARSS 2023: 915-918 - [c33]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: 1233-1236 - [c32]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: 1365-1368 - [c31]Wufan Zhao, Claudio Persello, Xianwei Lv, Alfred Stein:
Vectorizing Planar Roof Structure From Very High Resolution Remote Sensing Images Using Transformers. IGARSS 2023: 4899-4902 - [c30]Wufan Zhao, Claudio Persello, Hu Ding, Alfred Stein:
Learning General Representations for Semantic Segmentation and Height Estimation from Remote Sensing Images. JURSE 2023: 1-4 - [c29]Wen Zhou, Claudio Persello, Alfred Stein:
Building Usage Classification Using a Transformer-based Multimodal Deep Learning Method. JURSE 2023: 1-4 - [i5]Xianwei Lv, Claudio Persello, Xiao Huang, Dongping Ming, Alfred Stein:
DeepMerge: Deep Learning-Based Region-Merging for Image Segmentation. CoRR abs/2305.19787 (2023) - 2022
- [j32]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: 1-5 (2022) - [j31]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): 3605 (2022) - [j30]Mila Koeva, Rohan Bennett, Claudio Persello:
Remote Sensing for Land Administration 2.0. Remote. Sens. 14(17): 4359 (2022) - [i4]Debvrat Varshney, Claudio Persello, Prasun Kumar Gupta, Bhaskar Ramachandra Nikam:
Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images. CoRR abs/2201.02350 (2022) - 2021
- [j29]Monika Kuffer, Karin Pfeffer, Claudio Persello:
Special Issue "Remote-Sensing-Based Urban Planning Indicators". Remote. Sens. 13(7): 1264 (2021) - [j28]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): 4700 (2021) - [c28]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: 2106-2109 - [c27]Wufan Zhao, Claudio Persello, Alfred Stein:
End-to-End Roofline Extraction from Very-High-Resolution Remote Sensing Images. IGARSS 2021: 2783-2786 - [i3]Devis Tuia, Claudio Persello, Lorenzo Bruzzone:
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data. CoRR abs/2104.07778 (2021) - [i2]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 abs/2112.11367 (2021) - 2020
- [j27]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: 102117 (2020) - [j26]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): 59 (2020) - [c26]Claudio Persello, Monika Kuffer:
Towards Uncovering Socio-Economic Inequalities Using VHR Satellite Images and Deep Learning. IGARSS 2020: 3747-3750 - [c25]Wufan Zhao, Claudio Persello, Alfred Stein:
Building Instance Segmentation and Boundary Regularization from High-Resolution Remote Sensing Images. IGARSS 2020: 3916-3919
2010 – 2019
- 2019
- [j25]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): 1282 (2019) - [j24]Xue Xia, Claudio Persello, Mila Koeva:
Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images. Remote. Sens. 11(14): 1725 (2019) - [j23]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): 2417 (2019) - [j22]Ruoyun Liu, Monika Kuffer, Claudio Persello:
The Temporal Dynamics of Slums Employing a CNN-Based Change Detection Approach. Remote. Sens. 11(23): 2844 (2019) - [j21]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): 5300-5309 (2019) - [c24]Xue Xia, Mila Koeva, Claudio Persello:
Extracting Cadastral Boundaries from UAV Images Using Fully Convolutional Networks. IGARSS 2019: 2455-2458 - [c23]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: 3836-3839 - [c22]Debvrat Varshney, Prasun Kumar Gupta, Claudio Persello, Bhaskar Ramachandra Nikam:
Deep Convolutional Networks for Cloud Detection Using Resourcesat-2 Data. IGARSS 2019: 9851-9854 - [c21]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: 1-4 - [c20]Monika Kuffer, Claudio Persello, Karin Pfeffer, Richard Sliuzas, Vinodkumar Rao:
Do we underestimate the global slum population? JURSE 2019: 1-4 - 2018
- [j20]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): 91 (2018) - [j19]Monika Kuffer, Jiong Wang, Michael H. 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): 428 (2018) - [j18]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): 1522 (2018) - [j17]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): 1723 (2018) - [j16]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): 2731-2741 (2018) - [j15]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): 3179-3195 (2018) - [j14]John Ray Bergado, Claudio Persello, Alfred Stein:
Recurrent Multiresolution Convolutional Networks for VHR Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(11): 6361-6374 (2018) - [c19]John Ray Bergado, Claudio Persello, Alfred Stein:
Fusenet: End- to-End Multispectral Vhr Image Fusion and Classification. IGARSS 2018: 2091-2094 - [c18]Adugna G. Mullissa, Claudio Persello, Valentyn A. Tolpekin:
Fully Convolutional Networks for Multi-Temporal SAR Image Classification. IGARSS 2018: 6635-6638 - [i1]John Ray Bergado, Claudio Persello, Alfred Stein:
Recurrent Multiresolution Convolutional Networks for VHR Image Classification. CoRR abs/1806.05793 (2018) - 2017
- [j13]Claudio Persello, Alfred Stein:
Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images. IEEE Geosci. Remote. Sens. Lett. 14(12): 2325-2329 (2017) - [j12]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): 337 (2017) - [j11]Nicholus Mboga, Claudio Persello, John Ray Bergado, Alfred Stein:
Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks. Remote. Sens. 9(11): 1106 (2017) - [c17]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: 2231-2234 - [c16]Nicholus Mboga, Claudio Persello, John Ray Bergado, Alfred Stein:
Detection of informal settlements from VHR satellite images using convolutional neural networks. IGARSS 2017: 5169-5172 - [c15]Caroline Gevaert, Claudio Persello, Sander Oude Elberink, George Vosselman, Richard Sliuzas:
An automated technique for basemap updating using UAV data. JURSE 2017: 1-4 - [c14]Richard Sliuzas, Monika Kuffer, Caroline Gevaert, Claudio Persello, Karin Pfeffer:
Slum mapping. JURSE 2017: 1-4 - 2016
- [j10]Caroline M. Gevaert, Claudio Persello, George Vosselman:
Optimizing Multiple Kernel Learning for the Classification of UAV Data. Remote. Sens. 8(12): 1025 (2016) - [j9]Claudio Persello, Lorenzo Bruzzone:
Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning. IEEE Trans. Geosci. Remote. Sens. 54(5): 2615-2626 (2016) - [c13]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: 1508-1511 - [c12]John Ray Bergado, Claudio Persello, Caroline Gevaert:
A deep learning approach to the classification of sub-decimetre resolution aerial images. IGARSS 2016: 1516-1519 - [c11]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: 3070-3073 - 2014
- [j8]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): 6652-6664 (2014) - [j7]Claudio Persello, Lorenzo Bruzzone:
Active and Semisupervised Learning for the Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 52(11): 6937-6956 (2014) - [c10]Claudio Persello, Lorenzo Bruzzone:
Relevant and invariant feature selection of hyperspectral images for domain generalization. IGARSS 2014: 3562-3565 - 2013
- [j6]Claudio Persello:
Interactive Domain Adaptation for the Classification of Remote Sensing Images Using Active Learning. IEEE Geosci. Remote. Sens. Lett. 10(4): 736-740 (2013) - [c9]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: 2091-2094 - 2012
- [j5]Claudio Persello, Lorenzo Bruzzone:
Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 50(11): 4468-4483 (2012) - [c8]Claudio Persello, Francesco Dinuzzo:
Interactive domain adaptation technique for the classification of remote sensing images. IGARSS 2012: 6872-6875 - 2011
- [j4]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): 1014-1031 (2011) - [c7]Claudio Persello, Lorenzo Bruzzone:
A novel active learning strategy for domain adaptation in the classification of remote sensing images. IGARSS 2011: 3720-3723 - 2010
- [b1]Claudio Persello:
Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images. University of Trento, Italy, 2010 - [j3]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): 1232-1244 (2010) - [c6]Lorenzo Bruzzone, Claudio Persello:
Recent trends in classification of remote sensing data: active and semisupervised machine learning paradigms. IGARSS 2010: 3720-3723
2000 – 2009
- 2009
- [j2]Lorenzo Bruzzone, Claudio Persello:
A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2142-2154 (2009) - [j1]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): 3180-3191 (2009) - [c5]Claudio Persello, Lorenzo Bruzzone:
A Novel Approach to the Selection of Spatially Invariant Features for Classification of Hyperspectral Images. IGARSS (2) 2009: 61-64 - [c4]Lorenzo Bruzzone, Claudio Persello:
Active Learning for Classification of Remote Sensing Images. IGARSS (3) 2009: 693-696 - 2008
- [c3]Lorenzo Bruzzone, Claudio Persello:
A Novel Approach to the Selection of Robust and Invariant Features for Classification of Hyperspectral Images. IGARSS (1) 2008: 66-69 - [c2]Lorenzo Bruzzone, Claudio Persello:
A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Multispectral and SAR Images. IGARSS (2) 2008: 265-268 - 2007
- [c1]Lorenzo Bruzzone, Mattia Marconcini, Claudio Persello:
Fusion of spectral and spatial information by a novel SVM classification technique. IGARSS 2007: 4838-4841
Coauthor Index
Caroline Gevaert
aka: Caroline M. Gevaert
aka: Caroline M. Gevaert
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