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
Canopy polarized BRDF simulation based on non-stationary Monte Carlo 3-D vector RT modeling
A Kallel, JP Gastellu-Etchegorry
Journal of Quantitative Spectroscopy and Radiative Transfer 189, 149-167, 2017

24 2017
Multiresolution filter banks for pansharpening application
H Hallabia, A Kallel, AB Hamida
Advances in Multirate Systems, 119-141, 2017

1 2017
Lidar full waveform inversion to estimate maize and wheat crops biophysical properties
SB Hmida, A Kallel, JP Gastellu-Etchegorry, JL Roujean, M Zribi
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017

1 2017
High spectral quality pansharpening approach based on MTF-matched filter banks
H Hallabia, A Kallel, AB Hamida, SL Hégarat-Mascle
Multidimensional Systems and Signal Processing 27 (4), 831-861, 2016

28 2016
Iterative scheme for MS image pansharpening based on the combination of multi-resolution decompositions
T Delleji, A Kallel, A Ben Hamida
International Journal of Remote Sensing 37 (24), 6041-6075, 2016

14 2016