| 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 | 110 | 2021 |
| A new end-to-end multi-dimensional CNN framework for land cover/land use change detection in multi-source remote sensing datasets ST Seydi, M Hasanlou, M Amani Remote Sensing 12 (12), 2010, 2020 | 109 | 2020 |
| Hyperspectral change detection: An experimental comparative study M Hasanlou, ST Seydi International journal of remote sensing 39 (20), 7029-7083, 2018 | 108 | 2018 |
| Fire‐Net: A Deep Learning Framework for Active Forest Fire Detection ST Seydi, V Saeidi, B Kalantar, N Ueda, AA Halin Journal of Sensors 2022 (1), 8044390, 2022 | 104 | 2022 |
| 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 | 61 | 2017 |
| Comparison of machine learning algorithms for flood susceptibility mapping ST Seydi, Y Kanani-Sadat, M Hasanlou, R Sahraei, J Chanussot, ... Remote Sensing 15 (1), 192, 2022 | 51 | 2022 |
| Oil spill detection based on multiscale multidimensional residual CNN for optical remote sensing imagery ST Seydi, M Hasanlou, M Amani, W Huang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 51 | 2021 |
| Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network ST Seydi, M Hasanlou, J Chanussot Ecological Indicators 140, 108999, 2022 | 47 | 2022 |
| A dual attention convolutional neural network for crop classification using time-series Sentinel-2 imagery ST Seydi, M Amani, A Ghorbanian Remote Sensing 14 (3), 498, 2022 | 45 | 2022 |
| DSMNN-Net: A deep siamese morphological neural network model for burned area mapping using multispectral sentinel-2 and hyperspectral PRISMA images ST Seydi, M Hasanlou, J Chanussot Remote Sensing 13 (24), 5138, 2021 | 33 | 2021 |
| 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 | 33 | 2021 |
| A new structure for binary and multiple hyperspectral change detection based on spectral unmixing and convolutional neural network ST Seydi, M Hasanlou Measurement 186, 110137, 2021 | 31 | 2021 |
| 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 | 18 | 2018 |
| A sub-pixel multiple change detection approach for hyperspectral imagery M Hasanlou, ST Seydi, R Shah-Hosseini Canadian Journal of Remote Sensing 44 (6), 601-615, 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 | 15 | 2023 |
| SSViT-HCD: A spatial–spectral convolutional vision transformer for hyperspectral change detection A Shafique, ST Seydi, T Alipour-Fard, G Cao, D Yang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 13 | 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 | 13 | 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 | 13 | 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
