| Active fire detection from landsat-8 imagery using deep multiple kernel learning A Rostami, R Shah-Hosseini, S Asgari, A Zarei, M Aghdami-Nia, ... Remote Sensing 14 (4), 992, 2022 | 67 | 2022 |
| Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net M Aghdami-Nia, R Shah-Hosseini, A Rostami, S Homayouni International Journal of Applied Earth Observation and Geoinformation 109 …, 2022 | 55 | 2022 |
| Development and evaluation of a deep learning model for real-time ground vehicle semantic segmentation from UAV-based thermal infrared imagery MK Masouleh, R Shah-Hosseini ISPRS Journal of Photogrammetry and Remote Sensing 155, 172-186, 2019 | 51 | 2019 |
| Classification of polarimetric SAR images using Support Vector Machines R Shah Hosseini, I Entezari, S Homayouni, M Motagh, B Mansouri Canadian Journal of Remote Sensing 37 (2), 220-233, 2011 | 50 | 2011 |
| 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 | 35 | 2021 |
| A hybrid kernel-based change detection method for remotely sensed data in a similarity space R Shah-Hosseini, S Homayouni, A Safari Remote Sensing 7 (10), 12829-12858, 2015 | 33 | 2015 |
| Fusion of deep learning with adaptive bilateral filter for building outline extraction from remote sensing imagery MK Masouleh, R Shah-Hosseini Journal of Applied Remote Sensing 12 (4), 046018-046018, 2018 | 29 | 2018 |
| Validation of non-linear split window algorithm for land surface temperature estimation using Sentinel-3 satellite imagery: Case study; Tehran Province, Iran A Zarei, R Shah-Hosseini, S Ranjbar, M Hasanlou Advances in Space Research 67 (12), 3979-3993, 2021 | 24 | 2021 |
| Optimum feature and classifier selection for accurate urban land use/cover mapping from very high resolution satellite imagery M Saboori, S Homayouni, R Shah-Hosseini, Y Zhang Remote Sensing 14 (9), 2097, 2022 | 23 | 2022 |
| Modified algorithm based on support vector machines for classification of hyperspectral images in a similarity space R Shah Hosseini, S Homayouni, R Safari Journal of Applied Remote Sensing 6 (1), 063550-063550, 2012 | 23 | 2012 |
| Building panoptic change segmentation with the use of uncertainty estimation in squeeze-and-attention CNN and remote sensing observations M Khoshboresh-Masouleh, R Shah-Hosseini International Journal of Remote Sensing 42 (20), 7798-7820, 2021 | 21 | 2021 |
| A hyperspectral anomaly detection framework based on segmentation and convolutional neural network algorithms B Hosseiny, R Shah-Hosseini International Journal of Remote Sensing 41 (18), 6946-6975, 2020 | 21 | 2020 |
| Corn forage yield prediction using unmanned aerial vehicle images at mid-season growth stage H Fathipoor, H Arefi, R Shah-Hosseini, H Moghadam Journal of Applied Remote Sensing 13 (3), 034503-034503, 2019 | 20 | 2019 |
| 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 | 18 | 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 |
| A Deep Learning Method for Near‐Real‐Time Cloud and Cloud Shadow Segmentation from Gaofen‐1 Images M Khoshboresh-Masouleh, R Shah-Hosseini Computational Intelligence and Neuroscience 2020 (1), 8811630, 2020 | 16 | 2020 |
| A SVMS-based hyperspectral data classification algorithm in a similarity space RS Hosseini, S Homayouni 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution …, 2009 | 16 | 2009 |
| 3D-ResNet-BiLSTM model: a deep learning model for county-level soybean yield prediction with time-series Sentinel-1, Sentinel-2 imagery, and Daymet data M Fathi, R Shah-Hosseini, A Moghimi Remote Sensing 15 (23), 5551, 2023 | 15 | 2023 |
| Thermal anomaly detection using NARX neural network method to estimate the earthquake occurrence time M Nekoee, R Shah-Hosseini Earth Observation and Geomatics Engineering 4 (2), 98-108, 2020 | 15 | 2020 |
| Deep learning-based change detection method for environmental change monitoring using sentinel-2 datasets M Ahangarha, R Shah-Hosseini, M Saadatseresht Environmental Sciences Proceedings 5 (1), 15, 2020 | 15 | 2020 |
