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 networks
T Benzenati, Y Kessentini, A Kallel
Expert 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 networks
T Delleji, F Slimeni, H Fekih, A Jarray, W Boughanmi, A Kallel, Z Chtourou
Operations research forum 3 (4), 60, 2022

24 2022
Visual tracking of mini-uavs using modified yolov5 and improved deepsort algorithms
T Delleji, H Fkih, A Kallel, Z Chtourou
2022 6th International conference on advanced technologies for signal and …, 2022

12 2022
Olive tree and shadow instance segmentation based on Detectron2
AB Abdallah, A Kallel, M Dammak, AB Ali
2022 6th International Conference on Advanced Technologies for Signal and …, 2022

7 2022
Fusion network for super resolution of uavs visible and thermal images
H Fkih, T Delleji, A Kallel, Z Chtourou
2022 6th International Conference on Advanced Technologies for Signal and …, 2022

3 2022