| Earthquake damage region detection by multitemporal coherence map analysis of radar and multispectral imagery M Hasanlou, R Shah-Hosseini, ST Seydi, S Karimzadeh, M Matsuoka Remote Sensing 13 (6), 1195, 2021 | 30 | 2021 |
| Sensitivity analysis of pansharpening in hyperspectral change detection ST Seydi, M Hasanlou Applied Geomatics 10, 65-75, 2018 | 17 | 2018 |
| New framework for hyperspectral change detection based on multi-level spectral unmixing ST Seydi, R Shah-Hosseini, M Hasanlou Applied Geomatics 13 (4), 763-780, 2021 | 16 | 2021 |
| BDD-Net+: A building damage detection framework based on modified coat-net ST Seydi, M Hasanlou, J Chanussot, P Ghamisi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 12 | 2023 |
| BDD-Net: An end-to-end multiscale residual CNN for earthquake-induced building damage detection ST Seydi, H Rastiveis, B Kalantar, AA Halin, N Ueda Remote Sensing 14 (9), 2214, 2022 | 12 | 2022 |
| TCD-Net: A novel deep learning framework for fully polarimetric change detection using transfer learning R Habibollahi, ST Seydi, M Hasanlou, M Mahdianpari Remote Sensing 14 (3), 438, 2022 | 11 | 2022 |
| A quadratic morphological deep neural network fusing radar and optical data for the mapping of burned areas ST Seydi, M Hasanlou, J Chanussot IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 10 | 2022 |
| Use of multispectral and hyperspectral satellite imagery for monitoring waterbodies and wetlands M Hasanlou, ST Seydi Southern Iraq's Marshes: Their Environment and Conservation, 155-181, 2021 | 8 | 2021 |
| Sensitivity analysis on performance of different unsupervised threshold selection methods in hyperspectral change detection M Hasanlou, ST Seydi 2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), 1-4, 2018 | 7 | 2018 |
| A convolutional neural network method for rice mapping using time-series of Sentinel-1 and Sentinel-2 imagery M Saadat, ST Seydi, M Hasanlou, S Homayouni Agriculture 12 (12), 2083, 2022 | 5 | 2022 |
| Wetland hydroperiod analysis in Alberta using InSAR coherence data M Amani, B Brisco, R Warren, ER DeLancey, ST Seydi, V Poncos Remote Sensing 14 (14), 3469, 2022 | 4 | 2022 |
| Leveraging involution and convolution in an explainable building damage detection framework ST Seydi, M Hasanlou, J Chanussot, P Ghamisi European Journal of Remote Sensing 56 (1), 2252166, 2023 | 2 | 2023 |
| Seismic urban damage map generation based on satellite images and Gabor convolutional neural networks H Rastiveis, ST Seydi, ZQ Chen, J Li International Journal of Applied Earth Observation and Geoinformation 122 …, 2023 | 2 | 2023 |
| Deep Ensemble Learning for Land Cover Classification Based on Hyperspectral Prisma Image B Kalantar, ST Seydi, N Ueda, V Saeidi, AA Halin, F Shabani IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 2 | 2022 |
| Transformation Based Algorithms for Change Detection in Full Polarimetric remote SENSING Images ST Seydi, R Shahhoseini The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 2 | 2019 |
| A hyperspectral change detection (HCD-Net) framework based on double stream convolutional neural networks and an attention module ST Seydi, M Boueshagh, F Namjoo, SM Minouei, Z Nikraftar, M Amani Remote Sensing 16 (5), 827, 2024 | 1 | 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 | 1 | 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 |
| A Deep Learning Approach for Automated Building Outlines Extraction in Compact Urban Environments B Kalantar, SS Ojogbane, ST Seydi, AA Halin, S Mansor, N Ueda IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | | 2022 |
Mahdi Hasanlou (ORCID:0000-0002-7...Associate Professor at School of Surveying and Geospatial Engineering,在 ut.ac.ir 的电子邮件经过验证
