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 ◽

Author(s):

Jianjun Qing

Keyword(s):

Remote Sensing ◽

Convex Hull ◽

Supervised Classification ◽

Remote Sensing Images ◽

Multispectral Remote Sensing

Download Full-text

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 ◽

Author(s):

Victor-Emil Neagoe ◽

Vlad Chirila-Berbentea

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Training Data ◽

Remote Sensing Images ◽

Novel Approach ◽

Download Full-text

Extraction and selection of robust features for classification of multispectral remote-sensing images

IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293) ◽

10.1109/igarss.1999.773420 ◽

2003 ◽

Author(s):

L. Bruzzone ◽

D.F. Prieto ◽

G. Silvano

Keyword(s):

Remote Sensing ◽

Remote Sensing Images ◽

Multispectral Remote Sensing ◽

Download Full-text

Land cover classification of multispectral remote sensing images based on time-spectrum association features and multikernel boosting incremental learning

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.13.044510 ◽

2019 ◽

Vol 13 (04) ◽

pp. 1

Author(s):

Fukun Bi ◽

Jinyuan Hou ◽

Yuting Wang ◽

Jing Chen ◽

Yanping Wang

Keyword(s):

Remote Sensing ◽

Incremental Learning ◽

Time Spectrum ◽

Land Cover Classification ◽

Remote Sensing Images ◽

Multispectral Remote Sensing

Download Full-text

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 ◽

Author(s):

L. Bruzzone ◽

M. Marconcini

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Remote Sensing Images ◽

Multitemporal Remote Sensing

Download Full-text

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 ◽

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

Download Full-text

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 ◽

Author(s):

Prem Shankar Singh Aydav ◽

Sonajharia Minz

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Remote Sensing Images

Download Full-text

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 ◽

Author(s):

Haikel Alhichri ◽

Yacoub Bazi ◽

Naif Alajlan ◽

Nassim Ammour

Keyword(s):

Remote Sensing ◽

Supervised Classification ◽

Remote Sensing Images ◽

Learning Paradigm ◽

Hierarchical Learning

Download Full-text

Geometrical features for the classification of very high resolution multispectral remote-sensing images

2010 IEEE International Conference on Image Processing ◽

10.1109/icip.2010.5649890 ◽

2010 ◽

Author(s):

Bin Luo ◽

Jocelyn Chanussot

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Remote Sensing Images ◽

Geometrical Features ◽

Multispectral Remote Sensing ◽

Download Full-text

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 ◽

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

Download Full-text

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 ◽

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 ◽

Download Full-text