| Evaluation and comparison of eight machine learning models in land use/land cover mapping using Landsat 8 OLI: a case study of the northern region of Iran A Jamali SN Applied Sciences 1 (11), 1448, 2019 | 77 | 2019 |
| An automated 3D modeling of topological indoor navigation network A Jamali, A Abdul Rahman, P Boguslawski, P Kumar, C M. Gold GeoJournal 82 (1), 157–170, 2017 | 53 | 2017 |
| Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data A Jamali, M Mahdianpari Remote Sensing 14 (2), 359, 2022 | 40 | 2022 |
| Land Use Land Cover Mapping using Advanced Machine Learning Classifiers: A case study of Shiraz city, Iran A Jamali Earth Science Informatics 13, 1015–1030, 2020 | 33 | 2020 |
| Improving Land Use Land Cover Mapping of A Neural Network with three Optimizers of Multi-Verse Optimizer, Genetic Algorithm, and Derivative-free Function A Jamali The Egyptian Journal of Remote Sensing and Space Sciences 4 (3(1)), 373-390, 2021 | 25 | 2021 |
| Comparing Solo Versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery A Jamali, M Mahdianpari, B Brisco, J Granger, F Mohammadimanesh, ... Remote Sensing 13 (11), 2046, 2021 | 24 | 2021 |
| Evaluation of tree-base data mining algorithms in land used/land cover mapping in a semi-arid environment through Landsat 8 OLI image; Shiraz, Iran H Moayedi, A Jamali, MB A. Gibril, LK Foong, M Bahiraei Geomatics, Natural Hazards and Risk 11 (1), 724–741, 2020 | 24 | 2020 |
| Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data A Jamali, M Mahdianpari, B Brisco, J Granger, F Mohammadimanesh, ... GIScience & Remote Sensing 58 (7), 1072-1089, 2021 | 23 | 2021 |
| PolSAR Image Classification based on Deep Convolutional Neural Networks using Wavelet Transformation A Jamali, M Mahdianpari, F Mohammadimanesh, A Bhattacharya, ... IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 22 | 2022 |
| Land Use Land Cover Modeling using Optimized Machine Learning Classifiers: A case study of Shiraz, Iran A Jamali Modeling Earth Systems and Environment 7 (3), 1539-1550, 2021 | 21 | 2021 |
| Wetland Mapping Using Multi-Spectral Satellite Imagery and Deep Convolutional Neural Networks: A Case Study in Newfoundland and Labrador, Canada A Jamali, M Mahdianpari, B Brisco, J Granger, F Mohammadimanesh, ... Canadian Journal of Remote Sensing 47 (2), 243-260, 2021 | 19 | 2021 |
| A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples A Jamali, M Mahdianpari, F Mohammadimanesh, S Homayouni International Journal of Applied Earth Observation and Geoinformation 115 …, 2022 | 18 | 2022 |
| 3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer A Jamali, M Mahdianpari, B Brisco, D Mao, B Salehi, ... Ecological Informatics, 101904, 2022 | 18 | 2022 |
| A Cloud-Based Framework for Large-Scale Monitoring of Ocean Plastics Using Multi-Spectral Satellite Imagery and Generative Adversarial Network A Jamali, M Mahdianpari Water 13 (18), 2553, 2021 | 18 | 2021 |
| Local Window Attention Transformer for Polarimetric SAR Image Classification A Jamali, S Kumar Roy, A Bhattacharya, P Ghamisi IEEE Geoscience and Remote Sensing Letters, 2023 | 17 | 2023 |
| A Fit-for-Purpose algorithm for Environmental Monitoring based on Maximum likelihood, Support Vector Machine and Random Forest A Jamali Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 25-32, 2019 | 14 | 2019 |
| TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping A Jamali, SK Roy, J Li, P Ghamisi International Journal of Applied Earth Observation and Geoinformation 120 …, 2023 | 11 | 2023 |
| WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping A Jamali, SK Roy, P Ghamisi International Journal of Applied Earth Observation and Geoinformation 120 …, 2023 | 10 | 2023 |
| A Synergic Use of Sentinel-1 and Sentinel-2 Imagery for Complex Wetland Classification Using Generative Adversarial Network (GAN) Scheme A Jamali, M Mahdianpari, F Mohammadimanesh, B Brisco, B Salehi Water 13 (24), 3601, 2021 | 10 | 2021 |
| Swin Transformer for Complex Coastal Wetland Classification Using the Integration of Sentinel-1 and Sentinel-2 Imagery A Jamali, M Mahdianpari Water 14 (2), 178, 2022 | 8 | 2022 |
Masoud MahdianpariCross-Appointed Professor, MUN, C-CORE,Verified email at c-core.ca
