A novel T/sup 2/-SVM for partially supervised classification of multitemporal remote sensing images

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. ◽

10.1109/igarss.2005.1525653 ◽

2005 ◽

Cited By ~ 1

Author(s):

L. Bruzzone ◽

M. Marconcini

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Remote Sensing Images ◽

Multitemporal Remote Sensing

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A novel approach for semi-supervised classification of remote sensing images using a clustering-based selection of training data according to their GMM responsibilities

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8128058 ◽

2017 ◽

Cited By ~ 2

Author(s):

Victor-Emil Neagoe ◽

Vlad Chirila-Berbentea

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Training Data ◽

Remote Sensing Images ◽

Novel Approach ◽

Selection Of

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MRF model parameter estimation for contextual supervised classification of remote-sensing images

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. ◽

10.1109/igarss.2005.1526169 ◽

2005 ◽

Cited By ~ 3

Author(s):

G. Moser ◽

S.B. Serpico ◽

F. Causa

Keyword(s):

Remote Sensing ◽

Parameter Estimation ◽

Supervised Classification ◽

Remote Sensing Images ◽

Model Parameter ◽

Model Parameter Estimation

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Granulation-based self-training for the semi-supervised classification of remote-sensing images

Granular Computing ◽

10.1007/s41066-019-00161-x ◽

2019 ◽

Vol 5 (3) ◽

pp. 309-327 ◽

Cited By ~ 4

Author(s):

Prem Shankar Singh Aydav ◽

Sonajharia Minz

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Remote Sensing Images

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A hierarchical learning paradigm for semi-supervised classification of remote sensing images

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7326799 ◽

2015 ◽

Cited By ~ 5

Author(s):

Haikel Alhichri ◽

Yacoub Bazi ◽

Naif Alajlan ◽

Nassim Ammour

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Remote Sensing Images ◽

Learning Paradigm ◽

Hierarchical Learning

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Partially Supervised classification of remote sensing images through SVM-based probability density estimation

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2004.842022 ◽

2005 ◽

Vol 43 (3) ◽

pp. 559-570 ◽

Cited By ~ 130

Author(s):

P. Mantero ◽

G. Moser ◽

S.B. Serpico

Keyword(s):

Remote Sensing ◽

Probability Density ◽

Density Estimation ◽

Supervised Classification ◽

Probability Density Estimation ◽

Remote Sensing Images

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Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2013.2249522 ◽

2014 ◽

Vol 52 (2) ◽

pp. 1272-1284 ◽

Cited By ~ 34

Author(s):

Begum Demir ◽

Luca Minello ◽

Lorenzo Bruzzone

Keyword(s):

Remote Sensing ◽

Active Learning ◽

Supervised Classification ◽

Learning Method ◽

Remote Sensing Images ◽

Effective Training ◽

Active Learning Method ◽

Definition Of ◽

Training Sets

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Supervised Classification of Multisensor and Multiresolution Remote Sensing Images With a Hierarchical Copula-Based Approach

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2013.2272581 ◽

2014 ◽

Vol 52 (6) ◽

pp. 3346-3358 ◽

Cited By ~ 33

Author(s):

Aurelie Voisin ◽

Vladimir A. Krylov ◽

Gabriele Moser ◽

Sebastiano B. Serpico ◽

Josiane Zerubia

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Remote Sensing Images

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Supervised classification of multispectral remote sensing images based on the nearest reduced convex hull approach

Journal of Applied Remote Sensing ◽

10.1117/1.3253613 ◽

2009 ◽

Vol 3 (1) ◽

pp. 033550 ◽

Cited By ~ 2

Author(s):

Jianjun Qing

Keyword(s):

Remote Sensing ◽

Convex Hull ◽

Supervised Classification ◽

Remote Sensing Images ◽

Multispectral Remote Sensing

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Land Use/Cover Classification of Cloud-Contaminated Area by Multitemporal Remote Sensing Images

2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics ◽

10.1109/ihmsc.2014.46 ◽

2014 ◽

Author(s):

Shen Shaohong ◽

Mo Xiaocong ◽

Zhang Qian

Keyword(s):

Remote Sensing ◽

Land Use ◽

Remote Sensing Images ◽

Multitemporal Remote Sensing ◽

Contaminated Area

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Local Binary Ensemble based Self-training for Semi-supervised Classification of Hyperspectral Remote Sensing Images

Computación y Sistemas ◽

10.13053/cys-24-2-3374 ◽

2020 ◽

Vol 24 (2) ◽

Author(s):

Pangambam Sendash Singh ◽

Vijendra Pratap Singh ◽

Manish Kumar Pandey ◽

Subbiah Karthikeyan

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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