| Wildfire damage assessment over Australia using sentinel-2 imagery and MODIS land cover product within the google earth engine cloud platform ST Seydi, M Akhoondzadeh, M Amani, S Mahdavi Remote Sensing 13 (2), 220, 2021 | 93 | 2021 |
| A new land-cover match-based change detection for hyperspectral imagery ST Seydi, M Hasanlou European Journal of Remote Sensing 50 (1), 517-533, 2017 | 58 | 2017 |
| A deep learning framework for roads network damage assessment using post-earthquake lidar data ST Seydi, H Rastiveis The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 22 | 2019 |
| Sensitivity analysis of pansharpening in hyperspectral change detection ST Seydi, M Hasanlou Applied Geomatics 10, 65-75, 2018 | 17 | 2018 |
| Crop land change monitoring based on deep learning algorithm using multi-temporal hyperspectral images M Ahangarha, M Saadat Seresht, R Shahhoseini, ST Seydi Journal of Geomatics Science and Technology 10 (2), 79-89, 2020 | 2 | 2020 |
| A novel deep Siamese framework for burned area mapping Leveraging mixture of experts ST Seydi, M Hasanlou, J Chanussot Engineering Applications of Artificial Intelligence 133, 108280, 2024 | | 2024 |
| a Comparison of Deep Learning-Based Super-Resolution Frameworks for SENTINEL-2 Imagery in Urban Areas ST Seydi, H Arefi ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2023 | | 2023 |
| Crop-Net: A Novel Deep Learning Framework for Crop Classification using Time-series Sentinel-1 Imagery by Google Earth Engine ST Seydi, H Arefi, M Hasanlou | | 2023 |
Mahdi Hasanlou (ORCID:0000-0002-7...Associate Professor at School of Surveying and Geospatial Engineering,Verified email at ut.ac.ir
