| Deep learning-based estimation of crop biophysical parameters using multi-source and multi-temporal remote sensing observations H Bahrami, S Homayouni, A Safari, S Mirzaei, M Mahdianpari, ... Agronomy 11 (7), 1363, 2021 | 39 | 2021 |
| Crop biomass estimation using multi regression analysis and neural networks from multitemporal L-band polarimetric synthetic aperture radar data O Reisi-Gahrouei, S Homayouni, H McNairn, M Hosseini, A Safari International journal of remote sensing 40 (17), 6822-6840, 2019 | 36 | 2019 |
| Estimation of crop biomass and leaf area index from multitemporal and multispectral imagery using machine learning approaches O Reisi Gahrouei, H McNairn, M Hosseini, S Homayouni Canadian Journal of Remote Sensing 46 (1), 84-99, 2020 | 30 | 2020 |
| Comparison of Deep and Machine Learning Approaches for Quebec Tree Species Classification Using a Combination of Multispectral and LiDAR Data O Reisi Gahrouei, JF Côté, P Bournival, P Giguère, M Béland Canadian Journal of Remote Sensing 50 (1), 2359433, 2024 | 1 | 2024 |
| ESTIMATING CANOLA’S BIOPHYSICAL PARAMETERS FROM TEMPORAL, SPECTRAL, AND POLARIMETRIC IMAGERY USING MACHINE LEARNING APPROACHES O Reisi Gahrouei, S Homayouni, A Safari The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | | 2019 |
| TIME SERIES ANALYSIS OF UAVSAR L BAND POLSAR DATA FOR AGRICULTURAL LANDS MONITORING OR Gahrouei, S Homayouni, A Safari ISPRS International Joint Conferences, 365-372, 2017 | | 2017 |
Saeid Homayouni, Ph.D., IEEE SMProfessor, INRS, Centre Eau Terre EnvironnmentBestätigte E-Mail-Adresse bei inrs.ca