• 1330 Citations
  • 18 h-Index
20072020

Research output per year

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Article
2007

Classificazione di immagini telerilevate satellitari per agricoltura di precisione

Arnoldi, E., Bruzzone, L., Carlin, L., Pedron, L. & Persello, C., 2007, In : MondoGis. 63, November, p. 13-17

Research output: Contribution to journalArticleAcademic

2009
94 Citations (Scopus)

A novel context-sensitive semisupervised SVM classifier robust to mislabeled training samples

Bruzzone, L. & Persello, C., 2009, In : IEEE transactions on geoscience and remote sensing. 47, 7, p. 2142-2154

Research output: Contribution to journalArticleAcademicpeer-review

102 Citations (Scopus)

Automatic classification of brain resting states using fMRI temporal signals

Soldati, N., Robinson, S., Persello, C., Jovicich, J. & Bruzzone, L., 2009, In : Electronics letters. 45, 1, p. 19-21

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)
2010

A novel protocol for accuracy assessment in classification of very high resolution images

Persello, C. & Bruzzone, L., 2010, In : IEEE transactions on geoscience and remote sensing. 48, 3, p. 1232-1244

Research output: Contribution to journalArticleAcademicpeer-review

60 Citations (Scopus)
2011

Batch-mode active-learning methods for the interactive classification of remote sensing images

Demir, B., Persello, C. & Bruzzone, L., 2011, In : IEEE transactions on geoscience and remote sensing. 49, 3, p. 1014-1031

Research output: Contribution to journalArticleAcademicpeer-review

203 Citations (Scopus)
2012

Active learning for domain adaptation in the supervised classification of remote sensing images

Persello, C. & Bruzzone, L., 2012, In : IEEE transactions on geoscience and remote sensing. 50, 11, p. 4468-4483

Research output: Contribution to journalArticleAcademicpeer-review

68 Citations (Scopus)
2013

Interactive domain adaptation for the classification of remote sensing images using active learning

Persello, C., 2013, In : IEEE geoscience and remote sensing letters. 10, 4, p. 736-740

Research output: Contribution to journalArticleAcademicpeer-review

41 Citations (Scopus)
2014

Active and semisupervised learning for the classification of remote sensing images

Persello, C. & Bruzzone, L., 2014, In : IEEE transactions on geoscience and remote sensing. 52, 11, p. 6937-6956 20 p., 6780607.

Research output: Contribution to journalArticleAcademicpeer-review

97 Citations (Scopus)

Cost-sensitive active learning with lookahead: Optimizing field surveys for remote sensing data classification

Persello, C., Boularias, A., Dalponte, M., Gobakken, T., Naesset, E. & Scholkopf, B., 2014, In : IEEE transactions on geoscience and remote sensing. 52, 10, p. 6652-6664 13 p., 6729084.

Research output: Contribution to journalArticleAcademicpeer-review

30 Citations (Scopus)
2016

Domain adaptation for the classification of remote sensing data : an overview of recent advances

Tuia, D., Persello, C. & Bruzzone, L., 2016, In : IEEE geoscience and remote sensing magazine. 4, 2, p. 41-57

Research output: Contribution to journalArticleAcademicpeer-review

132 Citations (Scopus)

Kernel-based domain-invariant feature selection in hyperspectral images for transfer learning

Persello, C. & Bruzzone, L., 2016, In : IEEE transactions on geoscience and remote sensing. 54, 5, p. 2615-2626

Research output: Contribution to journalArticleAcademicpeer-review

58 Citations (Scopus)

Opportunities for UAV mapping to support unplanned settlement upgrading

Gevaert, C. M., Sliuzas, R. V., Persello, C. & Vosselman, G., 2016, In : Rwanda journal : Series D : Life and natural sciences. 1, SE 2, p. 1-19 19 p., 4.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
6 Citations (Scopus)

Optimizing Multiple Kernel Learning for the classification of UAV data

Gevaert, C. M., Persello, C. & Vosselman, G., 2016, In : Remote sensing. 8, 12, p. 1-22 22 p., 1025.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
18 Citations (Scopus)
2017

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

Persello, C. & Stein, A., 1 Jan 2017, In : IEEE geoscience and remote sensing letters. 14, 12, p. 2325-2329

Research output: Contribution to journalArticleAcademicpeer-review

46 Citations (Scopus)
5 Downloads (Pure)

Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks

Mboga, N., Persello, C., Bergado, J. R. & Stein, A., 2017, In : Remote sensing. 9, 11, 18 p., 1106.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
37 Citations (Scopus)
65 Downloads (Pure)
34 Citations (Scopus)
1 Downloads (Pure)

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

Samat, A., Persello, C., Gamba, P., Liu, S., Abuduwaili, J. & Li, E., 2017, In : Remote sensing. 9, 4, 28 p., 337.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
11 Citations (Scopus)
54 Downloads (Pure)
2018

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

Gevaert, C. M., Persello, C., Nex, F. & Vosselman, G., 1 Aug 2018, In : ISPRS journal of photogrammetry and remote sensing. 142, p. 106-123 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)
3 Downloads (Pure)

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

Samat, A., Persello, C., Liu, S., Li, E., Miao, Z. & Abuduwaili, J., 1 Sep 2018, In : IEEE Journal of selected topics in applied earth observations and remote sensing. 11, 9, p. 3179-3195 17 p., 8353860.

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)

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

Gevaert, C. M., Sliuzas, R. V., Persello, C. & Vosselman, G., 10 Mar 2018, In : ISPRS international journal of geo-information. 7, 3, p. 1-15 15 p., 91.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
8 Citations (Scopus)
33 Downloads (Pure)

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

Rizaldy, A., Persello, C., Gevaert, C. M., Oude Elberink, S. J. & Vosselman, G., 1 Nov 2018, In : Remote sensing. 10, 11, p. 1-27 27 p., 1723.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
11 Citations (Scopus)
60 Downloads (Pure)

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

Leonita, G., Kuffer, M., Sliuzas, R. V. & Persello, C., 1 Oct 2018, In : Remote sensing. 10, 10, p. 1-26 26 p., 1522.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
15 Citations (Scopus)
108 Downloads (Pure)

Onbemande luchtvaartuigen om sloppenwijken in kaart te brengen: theoretische ontwikkelingen en praktische toepassingen

Translated title of the contribution: UAVs to map informal settlements: theoretical developments and practical applicationsGevaert, C. M., Vosselman, G., Persello, C. & Sliuzas, R. V., Dec 2018, In : Geo-info. 6, p. 42-43 2 p.

Research output: Contribution to journalArticleAcademic

Recurrent Multiresolution Convolutional Networks for VHR Image Classification

Bergado, J. R., Persello, C. & Stein, A., 1 Nov 2018, In : IEEE transactions on geoscience and remote sensing. 56, 11, p. 6361-6374 14 p., 8388225.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
21 Citations (Scopus)
22 Downloads (Pure)
2019

Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images

Xia, X., Persello, C. & Koeva, M. N., 1 Jan 2019, In : Remote sensing. 11, 14, 1725.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
6 Citations (Scopus)

Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping

Persello, C., Tolpekin, V. A., Bergado, J. R. & de By, R. A., 15 Sep 2019, In : Remote sensing of environment. 231, p. 1-18 18 p., 111253.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
10 Citations (Scopus)
155 Downloads (Pure)

Detecting building changes between airborne laser scanning and photogrammetric data

Zhang, Z., Vosselman, G., Gerke, M., Persello, C., Tuia, D. & Yang, M. Y., 18 Oct 2019, In : Remote sensing. 11, 20, p. 1-17 17 p., 2417.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
4 Citations (Scopus)
14 Downloads (Pure)

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

Samat, A., Liu, S., Persello, C., Li, E., Miao, Z. & Abuduwaili, J., 1 Jan 2019, In : European Journal of Remote Sensing . 52, 1, p. 107-121 15 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
2 Citations (Scopus)
27 Downloads (Pure)

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

Ajami, A., Kuffer, M., Persello, C. & Pfeffer, K., 29 May 2019, In : Remote sensing. 11, 11, p. 1-24 24 p., 1282.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
6 Citations (Scopus)
61 Downloads (Pure)

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

Mullissa, A. G., Persello, C. & Stein, A., Dec 2019, In : IEEE Journal of selected topics in applied earth observations and remote sensing. 12, 12, p. 5300-5309 10 p., 8936481.

Research output: Contribution to journalArticleAcademicpeer-review

Rapid prediction of the magnitude scale of landslide events triggered by an earthquake

Tanyaş, H., van Westen, C. J., Persello, C. & Alvioli, M., 1 Apr 2019, In : Landslides. 16, 4, p. 661-676 16 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
5 Citations (Scopus)
29 Downloads (Pure)

The temporal dynamics of slums employing a CNN-based change detection approach

Liu, R., Kuffer, M. & Persello, C., 29 Nov 2019, In : Remote sensing. 11, 23, p. 1-21 21 p., 2844.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
5 Citations (Scopus)
22 Downloads (Pure)
2020

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

Masourd, K. M., Persello, C. & Tolpekin, V. A., 2020, In : Remote sensing. 12, 1, p. 1-16 16 p., 59.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
2 Citations (Scopus)
103 Downloads (Pure)
Open Access
File
36 Downloads (Pure)