| Land cover classification from fused DSM and UAV images using convolutional neural networks HAH Al-Najjar, B Kalantar, B Pradhan, V Saeidi, AA Halin, N Ueda, ... Remote Sensing 11 (12), 1461, 2019 | 200 | 2019 |
| Landslide susceptibility mapping: Machine and ensemble learning based on remote sensing big data B Kalantar, N Ueda, V Saeidi, K Ahmadi, AA Halin, F Shabani Remote Sensing 12 (11), 1737, 2020 | 137 | 2020 |
| 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 | 133 | 2022 |
| Optimized conditioning factors using machine learning techniques for groundwater potential mapping B Kalantar, HAH Al-Najjar, B Pradhan, V Saeidi, AA Halin, N Ueda, ... Water 11 (9), 1909, 2019 | 82 | 2019 |
| Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia KAFS Bahareh Kalantar, Naonori Ueda ,Vahideh Saeidi, Saeid Janizadeh ... Remote Sensing 13 (13), 2638, 2021 | 71 | 2021 |
| Comparison of machine learning methods for mapping the stand characteristics of temperate forests using multi-spectral sentinel-2 data K Ahmadi, B Kalantar, V Saeidi, EKG Harandi, S Janizadeh, N Ueda Remote Sensing 12 (18), 3019, 2020 | 67 | 2020 |
| Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using Dempster–Shafer theory V Saeidi, B Pradhan, MO Idrees, Z Abd Latif IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6017-6025, 2014 | 51 | 2014 |
| Conditioning factor determination for mapping and prediction of landslide susceptibility using machine learning algorithms HAH Al-Najjar, B Kalantar, B Pradhan, V Saeidi Earth resources and environmental remote sensing/GIS applications X 11156 …, 2019 | 47 | 2019 |
| Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image Segmentation and … SMHZMS Mohamed Barakat A. Gibril, Bahareh Kalantar, Rami Al-Ruzouq, Naonori ... Remote Sensing 12 (1081), 2020 | 40 | 2020 |
| Predicting PM2.5 levels over the north of Iraq using regression analysis and geographical information system (GIS) techniques HH Hamed, HJ Jumaah, B Kalantar, N Ueda, V Saeidi, S Mansor, ... Geomatics, Natural Hazards and Risk 12 (1), 1778-1796, 2021 | 32 | 2021 |
| Advanced differential interferometry synthetic aperture radar techniques for deformation monitoring: a review on sensors and recent research development OI Mohammed, V Saeidi, B Pradhan, YA Yusuf Geocarto International 29 (5), 536-553, 2014 | 30 | 2014 |
| Drought monitoring and its effects on vegetation and water extent changes using remote sensing data in Urmia Lake watershed, Iran J Helali, S Asaadi, T Jafarie, M Habibi, S Salimi, SE Momenpour, ... Journal of Water and Climate Change 13 (5), 2107-2128, 2022 | 24 | 2022 |
| Application of an ensemble statistical approach in spatial predictions of bushfire probability and risk mapping MS Tehrany, H Özener, B Kalantar, N Ueda, MR Habibi, F Shabani, ... Journal of sensors 2021 (1), 6638241, 2021 | 17 | 2021 |
| Automatic keypoints extraction from UAV image with refine and improved scale invariant features transform (RI-SIFT) H Dibs, MO Idrees, V Saeidi, S Mansor International Journal of Geoinformatics 12 (3), 31-58, 2016 | 17 | 2016 |
| Projection of changes in late spring frost based on CMIP6 models and SSP scenarios over cold regions of Iran H Jalil, AO Ebrahim, H Seyed Asaad, V Saeidi, M Rahele Theoretical and Applied Climatology, 2022 | 16 | 2022 |
| Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence V Saeidi, ST Seydi, B Kalantar, N Ueda, B Tajfirooz, F Shabani Geomatics, Natural Hazards and Risk 14 (1), 2225691, 2023 | 15 | 2023 |
| Fusion of the multisource datasets for flood extent mapping based on ensemble convolutional neural network (CNN) model ST Seydi, V Saeidi, B Kalantar, N Ueda, JL van Genderen, FH Maskouni, ... Journal of Sensors 2022 (1), 2887502, 2022 | 13 | 2022 |
| Optimized conditioning factors using machine learning techniques for groundwater potential mapping. Water 11 (9): 1909 B Kalantar, HAH Al-Najjar, B Pradhan, V Saeidi, AA Halin, N Ueda, ... | 9 | 2019 |
| Building extraction for 3D city modelling using airborne laser scanning data and high-resolution aerial photo U Peeroo, MO Idrees, V Saeidi South African Journal of Geomatics 6 (3), 363-376, 2017 | 9 | 2017 |
| Imaging spectroscopy and light detection and ranging data fusion for urban features extraction M Idrees, HZM Shafri, V Saeidi American Journal of Applied Sciences 10 (12), 1575, 2013 | 8 | 2013 |
Alfian Abdul HalinSenior Lecturer, Faculty of Computer Science & Information Technology, Universiti Putra MalaysiaPreverjeni e-poštni naslov na ieee.org