フォロー
Claudio Persello
Claudio Persello
確認したメール アドレス: utwente.nl - ホームページ
タイトル
引用先
引用先
Batch-mode active-learning methods for the interactive classification of remote sensing images
B Demir, C Persello, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 49 (3), 1014-1031, 2010
3102010
Domain adaptation for the classification of remote sensing data: An overview of recent advances
D Tuia, C Persello, L Bruzzone
IEEE geoscience and remote sensing magazine 4 (2), 41-57, 2016
3012016
A novel approach to the selection of spatially invariant features for the classification of hyperspectral images with improved generalization capability
L Bruzzone, C Persello
IEEE transactions on geoscience and remote sensing 47 (9), 3180-3191, 2009
1522009
A novel context-sensitive semisupervised SVM classifier robust to mislabeled training samples
L Bruzzone, C Persello
IEEE Transactions on Geoscience and Remote Sensing 47 (7), 2142-2154, 2009
1482009
Active and Semisupervised Learning for the Classification of Remote Sensing Images
C Persello, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6937 - 6956, 2014
1472014
Deep fully convolutional networks for the detection of informal settlements in VHR images
C Persello, A Stein
IEEE geoscience and remote sensing letters 14 (12), 2325-2329, 2017
1212017
Active learning for domain adaptation in the supervised classification of remote sensing images
C Persello, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 50 (11), 4468-4483, 2012
1212012
Kernel-based domain-invariant feature selection in hyperspectral images for transfer learning
C Persello, L Bruzzone
IEEE transactions on geoscience and remote sensing 54 (5), 2615-2626, 2015
1082015
A novel protocol for accuracy assessment in classification of very high resolution images
C Persello, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 48 (3), 1232-1244, 2009
982009
Detection of informal settlements from VHR images using convolutional neural networks
N Mboga, C Persello, JR Bergado, A Stein
Remote sensing 9 (11), 1106, 2017
922017
Informal settlement classification using point-cloud and image-based features from UAV data
CM Gevaert, C Persello, R Sliuzas, G Vosselman
ISPRS journal of photogrammetry and remote sensing 125, 225-236, 2017
782017
Interactive Domain Adaptation for the Classification of Remote Sensing Images Using Active Learning
C Persello
IEEE Geoscience and Remote Sensing Letters, 1-5, 2013
612013
Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping
C Persello, VA Tolpekin, JR Bergado, RA De By
Remote sensing of environment 231, 111253, 2019
602019
Recurrent multiresolution convolutional networks for VHR image classification
JR Bergado, C Persello, A Stein
IEEE transactions on geoscience and remote sensing 56 (11), 6361-6374, 2018
592018
The scope of earth-observation to improve the consistency of the SDG slum indicator
M Kuffer, J Wang, M Nagenborg, K Pfeffer, D Kohli, R Sliuzas, C Persello
ISPRS international journal of geo-information 7 (11), 428, 2018
572018
A deep learning approach to DTM extraction from imagery using rule-based training labels
CM Gevaert, C Persello, F Nex, G Vosselman
ISPRS journal of photogrammetry and remote sensing 142, 106-123, 2018
502018
Machine learning-based slum mapping in support of slum upgrading programs: The case of Bandung City, Indonesia
G Leonita, M Kuffer, R Sliuzas, C Persello
Remote sensing 10 (10), 1522, 2018
482018
A deep learning approach to the classification of sub-decimetre resolution aerial images
JR Bergado, C Persello, C Gevaert
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
452016
Cost-sensitive active learning with lookahead: Optimizing field surveys for remote sensing data classification
C Persello, A Boularias, M Dalponte, T Gobakken, E Naesset, ...
IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6652-6664, 2014
432014
The temporal dynamics of slums employing a CNN-based change detection approach
R Liu, M Kuffer, C Persello
Remote Sensing 11 (23), 2844, 2019
382019
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