Author

Touati R

Polytechnique Montr

Biography

Redha Touati received the M.Sc. degree in computer science from the Department of Computer Science and Operations Research (DIRO), University of Montreal, Montreal, QC, Canada, in 2014 . He is currently working toward the Ph.D. degree at the Vision Laboratory of the University of Montreal (DIRO), in collaboration with the Imaging and Vision Department of the Computer Research Institute of Montreal (CRIM), Montreal, QC, USA.,His research interests include statistical methods and applied mathematics in video imaging and remote sensing imagery.
Title
Cited by
Year
Multimodal change detection in remote sensing images using an unsupervised pixel pairwise-based Markov random field model
R Touati, M Mignotte, M DahmaneIEEE Transactions on Image Processing 29, 757-767, 2019201
71
2019
An energy-based model encoding nonlocal pairwise pixel interactions for multisensor change detection
R Touati, M MignotteIEEE Transactions on Geoscience and Remote Sensing 56 (2), 1046-1058, 2017201
57
2017
Anomaly feature learning for unsupervised change detection in heterogeneous images: A deep sparse residual model
R Touati, M Mignotte, M DahmaneIEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020202
41
2020
Change detection in heterogeneous remote sensing images based on an imaging modality-invariant MDS representation
R Touati, M Mignotte, M Dahmane2018 25th IEEE International Conference on Image Processing (ICIP), 3998-4002, 2018201
33
2018
A reliable mixed-norm-based multiresolution change detector in heterogeneous remote sensing images
R Touati, M Mignotte, M DahmaneIEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019201
23
2019
MDS-based multi-axial dimensionality reduction model for human action recognition
R Touati, M Mignotte2014 Canadian Conference on Computer and Robot Vision, 262-267, 2014201
23
2014
A new change detector in heterogeneous remote sensing imagery
R Touati, M Mignotte, M Dahmane2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017201
15
2017
A feature invariant generative adversarial network for head and neck MRI/CT image synthesis
R Touati, WT Le, S KadouryPhysics in Medicine & Biology 66 (9), 095001, 2021202
7
2021
Partly uncoupled siamese model for change detection from heterogeneous remote sensing imagery
R Touati, M Mignotte, M DahmaneJ. Remote Sens. GIS 9 (1), 1-8, 2020202
7
2020
A multidimensional scaling optimization and fusion approach for the unsupervised change detection problem in remote sensing images
R Touati, M Mignotte2016 Sixth International Conference on Image Processing Theory, Tools and …, 2016201
7
2016
Multimodal change detection using a convolution model-based mapping
R Touati, M Mignotte, M Dahmane2019 Ninth International Conference on Image Processing Theory, Tools and …, 2019201
6
2019
A circular invariant convolution model-based mapping for multimodal change detection
R Touati, M Mignotte, M DahmaneAdv. Sci., Tech. Eng. Syst. J. 5, 188-198, 000
2
2020

Referred From: https://scholar.google.com/citations?user=RzoGVhkAAAAJ&hl=en&oi=sra

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Citations 299
h-index 7
i10-index 7
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