Follow
Claudio Persello
Claudio Persello
Verified email at utwente.nl - Homepage
Title
Cited by
Cited by
Year
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
4712016
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
3632010
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
1932017
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
1722014
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
1642009
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
1612009
UAV in the advent of the twenties: Where we stand and what is next
F Nex, C Armenakis, M Cramer, DA Cucci, M Gerke, E Honkavaara, ...
ISPRS journal of photogrammetry and remote sensing 184, 215-242, 2022
1582022
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
1482019
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
1472012
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
1382017
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
1292015
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
1172009
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
1032017
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
1002018
Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework
W Zhao, C Persello, A Stein
ISPRS journal of photogrammetry and remote sensing 175, 119-131, 2021
972021
The temporal dynamics of slums employing a CNN-based change detection approach
R Liu, M Kuffer, C Persello
Remote sensing 11 (23), 2844, 2019
932019
Deep learning and earth observation to support the sustainable development goals: Current approaches, open challenges, and future opportunities
C Persello, JD Wegner, R Hänsch, D Tuia, P Ghamisi, M Koeva, ...
IEEE Geoscience and Remote Sensing Magazine 10 (2), 172-200, 2022
912022
Delineation of agricultural field boundaries from Sentinel-2 images using a novel super-resolution contour detector based on fully convolutional networks
KM Masoud, C Persello, VA Tolpekin
Remote sensing 12 (1), 59, 2019
902019
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
892018
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
832018
The system can't perform the operation now. Try again later.
Articles 1–20