Ahmad W. Bitar
Title
Cited by
Cited by
Year
Sparse and low-rank matrix decomposition for automatic target detection in hyperspectral imagery
AW Bitar, LF Cheong, JP Ovarlez
IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5239-5251, 2019
272019
Blind digital watermarking in PDF documents using Spread Transform Dither Modulation
AW Bitar, R Darazi, JF Couchot, R Couturier
Multimedia Tools and Applications 76 (1), 143-161, 2017
242017
Target and background separation in hyperspectral imagery for automatic target detection
AW Bitar, LF Cheong, JP Ovarlez
2018 IEEE international conference on acoustics, speech and signal …, 2018
92018
Sparsity-based Cholesky Factorization and Its Application to Hyperspectral Anomaly Detection
AW Bitar, JP Ovarlez, LF Cheong
IEEE CAMSAP 2017, 5, 2017
72017
Simultaneous sparsity-based binary hypothesis model for real hyperspectral target detection
AW Bitar, LF Cheong, JP Ovarlez
2017 IEEE international conference on acoustics, speech and signal …, 2017
52017
Sparse and low-rank decomposition for automatic target detection in hyperspectral imagery
AW Bitar, LF Cheong, JP Ovarlez
arXiv preprint arXiv:[1711] 08970, 2017
52017
Algorithmic Optimizations in the HMAX Model Targeted for Efficient Object Recognition
AW Bitar, MM Mansour, A Chehab
Computer Vision, Imaging and Computer Graphics Theory and Applications 598, 2015
42015
Automatic target detection for sparse hyperspectral images
AW Bitar, JP Ovarlez, LF Cheong, A Chehab
Working book chapter..., 2019
32019
Efficient implementation of a recognition system using the cortex ventral stream model
AW Bitar, MM Mansour, A Chehab
arXiv preprint arXiv:1711.07827, 2017
32017
Exploitation of Sparsity for Hyperspectral Target Detection
AW Bitar
Centrale Supélec, Université Paris-Saclay, 2018
12018
Comments on «Automatic Target Detection for Sparse Hyperspectral Images» by Ahmad W. Bitar et al.
AW Bitar, A Chehab, JP Ovarlez
American University of Beirut; CentraleSupélec, Université Paris-Saclay …, 2020
2020
Exploitation de la parcimonie pour la détection de cibles dans les images hyperspectrales
A Bitar
2018
Exploitation de la parcimonie par la factorisation de Cholesky et son application pour la détection d’anomalies en imagerie hyperspectrale.
AW Bitar, JP Ovarlez, LF Cheong
GRETSI 2017, 2017
2017
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