Prof. Yakoub Bazi
Prof. Yakoub Bazi
College of Computer and Information Sciences, King Saud University
Verified email at ksu.edu.sa - Homepage
Title
Cited by
Cited by
Year
An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images
Y Bazi, L Bruzzone, F Melgani
IEEE Transactions on Geoscience and Remote Sensing 43 (4), 874-887, 2005
6792005
Classification of electrocardiogram signals with support vector machines and particle swarm optimization
F Melgani, Y Bazi
IEEE transactions on information technology in biomedicine 12 (5), 667-677, 2008
4672008
Toward an optimal SVM classification system for hyperspectral remote sensing images
Y Bazi, F Melgani
IEEE Transactions on geoscience and remote sensing 44 (11), 3374-3385, 2006
4522006
Deep learning approach for active classification of electrocardiogram signals
MM Al Rahhal, Y Bazi, H AlHichri, N Alajlan, F Melgani, RR Yager
Information Sciences 345, 340-354, 2016
3532016
Image thresholding based on the EM algorithm and the generalized Gaussian distribution
Y Bazi, L Bruzzone, F Melgani
Pattern Recognition 40 (2), 619-634, 2007
2772007
Deep learning approach for car detection in UAV imagery
N Ammour, H Alhichri, Y Bazi, B Benjdira, N Alajlan, M Zuair
Remote Sensing 9 (4), 312, 2017
1382017
Unsupervised change detection in multispectral remotely sensed imagery with level set methods
Y Bazi, F Melgani, HD Al-Sharari
IEEE Transactions on Geoscience and Remote Sensing 48 (8), 3178-3187, 2010
1362010
Differential evolution extreme learning machine for the classification of hyperspectral images
Y Bazi, N Alajlan, F Melgani, H AlHichri, S Malek, RR Yager
IEEE Geoscience and Remote Sensing Letters 11 (6), 1066-1070, 2013
1262013
Gaussian process approach to remote sensing image classification
Y Bazi, F Melgani
IEEE transactions on geoscience and remote sensing 48 (1), 186-197, 2009
1202009
Semisupervised PSO-SVM regression for biophysical parameter estimation
Y Bazi, F Melgani
IEEE Transactions on Geoscience and Remote Sensing 45 (6), 1887-1895, 2007
1002007
A multiobjective genetic SVM approach for classification problems with limited training samples
N Ghoggali, F Melgani, Y Bazi
IEEE Transactions on Geoscience and Remote Sensing 47 (6), 1707-1718, 2009
882009
Using convolutional features and a sparse autoencoder for land-use scene classification
E Othman, Y Bazi, N Alajlan, H Alhichri, F Melgani
International Journal of Remote Sensing 37 (10), 2149-2167, 2016
872016
Markovian fusion approach to robust unsupervised change detection in remotely sensed imagery
F Melgani, Y Bazi
IEEE Geoscience and Remote Sensing Letters 3 (4), 457-461, 2006
802006
Fusion of supervised and unsupervised learning for improved classification of hyperspectral images
N Alajlan, Y Bazi, F Melgani, RR Yager
Information Sciences 217, 39-55, 2012
772012
Efficient framework for palm tree detection in UAV images
S Malek, Y Bazi, N Alajlan, H AlHichri, F Melgani
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
742014
Automatic identification of the number and values of decision thresholds in the log-ratio image for change detection in SAR images
Y Bazi, L Bruzzone, F Melgani
IEEE Geoscience and Remote Sensing Letters 3 (3), 349-353, 2006
662006
Support vector machine active learning through significance space construction
E Pasolli, F Melgani, Y Bazi
IEEE Geoscience and Remote Sensing Letters 8 (3), 431-435, 2010
622010
Land-use classification with compressive sensing multifeature fusion
ML Mekhalfi, F Melgani, Y Bazi, N Alajlan
IEEE Geoscience and Remote Sensing Letters 12 (10), 2155-2159, 2015
602015
Fusion of extreme learning machine and graph-based optimization methods for active classification of remote sensing images
MA Bencherif, Y Bazi, A Guessoum, N Alajlan, F Melgani, H AlHichri
IEEE Geoscience and Remote Sensing Letters 12 (3), 527-531, 2014
592014
Domain adaptation network for cross-scene classification
E Othman, Y Bazi, F Melgani, H Alhichri, N Alajlan, M Zuair
IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4441-4456, 2017
572017
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