Profile abdelaziz kallel
First Name
abdelaziz
Last Name
kallel
Address
CRNS, technopole de Sfax, BOX 275
Zip code
3038
Biography
Pr. Abdelaziz Kallel received the HDR degree from the Sfax University, Tunisia, in 2014. In 2007, he obtained the Ph.D. degree in physics from the Paris-Sud University, France. He got the engineering and M.S. degrees in telecoms from Sup'Com, Tunisia, in 2003 and 2004, respectively. He was a post doc scientist at LSCE, France and Tartu Observatory, Estonia, in 2008 and 2009, respectively. He is currently a senior researcher of remote sensing at Digital Research Centre of Sfax, Tunisia. Particularly, he is the head of the Remote Sensing for Smart Agriculture (RSSA) Team as well as the Laboratory of Signals, systeMs, aRtificial Intelligence and neTworkS (SMARTS). He was the coordinator of the PHC-Utique project (2017-2019): Olive tree monitoring using optical space born instruments as well as the PAQ-Collabora project (2018-2024): Use of ICT in olive growing: toward optimization of water use and regularity of harvests. He is the coordinator of the federated project (2019-2023): SOS-Olivier: Multi-Approach Monitoring of Olive tree Health in Tunisia using Optical Remote Sensing. He is the scientific coordinator of the Orange group research project (2020-2024) 3A : AI for Agriculture in Africa. He is the first investigator of the valorization project with the CHO Company (2023-2024) ERO: Estimation of the Olive Tree yield. His research interest concerns radiative transfer theory and application to vegetation (crop, plant, forest, …) cover property inversion using passive and active optical remote sensing techniques.
Research Interests
Remote Sensing, Radiative Transfer, Inverse modeling, Satellite Image Processing
Scientific publications
Title | Cited by | Year |
---|---|---|
Pansharpening approach via two-stream detail injection based on relativistic generative adversarial networksT Benzenati, Y Kessentini, A KallelExpert Systems with Applications 188, 115996, 2022 |
32 | 2022 |
An upgraded-yolo with object augmentation: Mini-uav detection under low-visibility conditions by improving deep neural networksT Delleji, F Slimeni, H Fekih, A Jarray, W Boughanmi, A Kallel, Z ChtourouOperations research forum 3 (4), 60, 2022 |
24 | 2022 |
Visual tracking of mini-uavs using modified yolov5 and improved deepsort algorithmsT Delleji, H Fkih, A Kallel, Z Chtourou2022 6th International conference on advanced technologies for signal and …, 2022 |
12 | 2022 |
Olive tree and shadow instance segmentation based on Detectron2AB Abdallah, A Kallel, M Dammak, AB Ali2022 6th International Conference on Advanced Technologies for Signal and …, 2022 |
7 | 2022 |
Fusion network for super resolution of uavs visible and thermal imagesH Fkih, T Delleji, A Kallel, Z Chtourou2022 6th International Conference on Advanced Technologies for Signal and …, 2022 |
3 | 2022 |