Nombre de documents archivés : 5.
Bahrami, Hazhir
ORCID: https://orcid.org/0000-0003-1371-7337; Chokmani, Karem
ORCID: https://orcid.org/0000-0003-0018-0761; Homayouni, Saeid
ORCID: https://orcid.org/0000-0002-0214-5356; Adamchuk, Viacheslav I.; Saifuzzaman, Md et Leduc, Maxime
(2025).
Alfalfa detection and stem count from proximal images using a combination of deep neural networks and machine learning.
Computers and Electronics in Agriculture
, vol. 232
.
p. 110115.
DOI: 10.1016/j.compag.2025.110115.
Bahrami, Hazhir
ORCID: https://orcid.org/0000-0003-1371-7337; Esmaeili, Pouya; Homayouni, Saeid
ORCID: https://orcid.org/0000-0002-0214-5356; Pour, Amin Beiranvand
ORCID: https://orcid.org/0000-0001-8783-5120; Chokmani, Karem
ORCID: https://orcid.org/0000-0003-0018-0761 et Bahroudi, Abbas
(2024).
Machine Learning-Based Lithological Mapping from ASTER Remote-Sensing Imagery.
Minerals
, vol. 14
, nº 2.
p. 202.
DOI: 10.3390/min14020202.
Bahrami, Hazhir; Homayouni, Saeid
ORCID: https://orcid.org/0000-0002-0214-5356; McNairn, Heather; Hosseini, Mehdi et Mahdianpari, Masoud
(2022).
Regional Crop Characterization Using Multi-Temporal Optical and Synthetic Aperture Radar Earth Observations Data./ Caractérisation régionale des cultures à l’aide de données d’observations de la Terre multitemporelles optiques et celles d’un radar à synthèse d’ouverture.
Canadian Journal of Remote Sensing
, vol. 48
, nº 2.
pp. 258-277.
DOI: 10.1080/07038992.2021.2011180.
Bahrami, Hazhir; Homayouni, Saeid
ORCID: https://orcid.org/0000-0002-0214-5356; Safari, Abdolreza; Mirzaei, Sayeh; Mahdianpari, Masoud et Reisi-Gahrouei, Omid
(2021).
Deep Learning-Based Estimation of Crop Biophysical Parameters Using Multi-Source and Multi-Temporal Remote Sensing Observations.
Agronomy
, vol. 11
, nº 7.
p. 1363.
DOI: 10.3390/agronomy11071363.
Bahrami, Hazhir; Homayouni, Saeid
ORCID: https://orcid.org/0000-0002-0214-5356; Shah-Hosseini, Reza; ZandKarimi, Arash et Safari, Abdolreza
(2020).
Efficient dust detection based on spectral and thermal observations of MODIS imagery.
Journal of Applied Remote Sensing
, vol. 14
, nº 03.
034513.
DOI: 10.1117/1.JRS.14.034513.
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