关注
Prof. Yakoub Bazi
Prof. Yakoub Bazi
College of Computer and Information Sciences, King Saud University
在 ksu.edu.sa 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
8542005
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
6982016
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
6252008
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
5762006
Vision transformers for remote sensing image classification
Y Bazi, L Bashmal, MMA Rahhal, RA Dayil, NA Ajlan
Remote Sensing 13 (3), 516, 2021
3412021
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
3222007
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
3202017
Classification of remote sensing images using EfficientNet-B3 CNN model with attention
H Alhichri, AS Alswayed, Y Bazi, N Ammour, NA Alajlan
IEEE access 9, 14078-14094, 2021
2252021
One‐dimensional convolutional neural networks for spectroscopic signal regression
S Malek, F Melgani, Y Bazi
Journal of Chemometrics 32 (5), e2977, 2018
2172018
Unsupervised domain adaptation using generative adversarial networks for semantic segmentation of aerial images
B Benjdira, Y Bazi, A Koubaa, K Ouni
Remote Sensing 11 (11), 1369, 2019
2052019
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
1892010
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
1762016
Gaussian process approach to remote sensing image classification
Y Bazi, F Melgani
IEEE transactions on geoscience and remote sensing 48 (1), 186-197, 2009
1652009
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
1602013
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
1502017
Convolutional SVM networks for object detection in UAV imagery
Y Bazi, F Melgani
Ieee transactions on geoscience and remote sensing 56 (6), 3107-3118, 2018
1432018
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
1312014
Semisupervised PSO-SVM regression for biophysical parameter estimation
Y Bazi, F Melgani
IEEE Transactions on Geoscience and Remote Sensing 45 (6), 1887-1895, 2007
1172007
Convolutional neural networks for electrocardiogram classification
MM Al Rahhal, Y Bazi, M Al Zuair, E Othman, B BenJdira
Journal of Medical and Biological Engineering 38, 1014-1025, 2018
1122018
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
1122006
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