| Introducing two Random Forest based methods for cloud detection in remote sensing images N Ghasemian, M Akhoondzadeh Advances in Space Research 62 (2), 288-303, 2018 | 89 | 2018 |
| Vegetation mapping of sentinel-1 and 2 satellite images using convolutional neural network and random forest with the aid of dual-polarized and optical vegetation indexes N Ghasemian Sorboni, P Pahlavani, B Bigdeli The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 8 | 2019 |
| A CONVOLUTIONAL NEURAL NETWORK FOR FLOOD MAPPING USING SENTINEL-1 AND SRTM DEM DATA: CASE STUDY IN POLDOKHTAR-IRAN B Hosseiny, N Ghasemian, J Amini ISPRS International GeoSpatial Conference 2019, Joint Conferences of 5th …, 2019 | 7 | 2019 |
| Hyperspectral multiple-change detection framework based on sparse representation and support vector data description algorithms N Ghasemian, R Shah-Hosseini Journal of Applied Remote Sensing 14 (1), 014523-014523, 2020 | 6 | 2020 |
| Integration of VIR and thermal bands for cloud, snow/ice and thin cirrus detection in MODIS satellite images N Ghasemian, M Akhoondzadeh The third international conference on Intelligent Decision Science (IDS-2018), 2018 | 3 | 2018 |
| Automated first floor height estimation for flood vulnerability analysis using deep learning and Google Street View NG Sorboni, J Wang, MR Najafi Journal of Flood Risk Management 17 (2), e12975, 2024 | 2 | 2024 |
| Urban flood mapping using Sentinel-1 and RADARSAT Constellation Mission image and convolutional Siamese network N Ghasemian Sorboni, J Wang, MR Najafi Natural Hazards 120 (6), 5711-5742, 2024 | 1 | 2024 |
| Building detection using a dense attention network from LiDAR and image data N Ghasemian, J Wang, MR Najafi Geomatica, 1-28, 2022 | 1 | 2022 |
| Fusion of Non-Thermal and Thermal Satellite Images by Boosted Svm Classifiers for Cloud Detection N Ghasemian, M Akhoondzadeh The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 1 | 2017 |
| Comparison of methods of artificial neural networks, support vector machine and decision tree to identify clouds in Landsat 8 satellite images N Ghasemian, M Akhondzadeh Geospatial Engineering Journal 7 (4), 25-36, 2016 | 1 | 2016 |
| Fusion of Google Street View, LiDAR, and Orthophoto Classifications Using Ranking Classes Based on F1 Score for Building Land-Use Type Detection N Ghasemian Sorboni, J Wang, MR Najafi Remote Sensing 16 (11), 2011, 2024 | | 2024 |
| MLP, Recurrent, Convolutional and LSTM Neural Networks Detect Seismo-TEC Anomalies Potentially Related to the Iran Sarpol-e Zahab (Mw= 7.3) Earthquake of 12 November 2017 M Akhoondzadeh, B Hosseiny, N Ghasemian Journal of the Earth and Space Physics 47 (4), 2022 | | 2022 |
| Cloud detection in MODIS satellite images using ensemble methods N Ghasemian, M Akhoondzadeh The third international conference on Intelligent Decision Science (IDS-2018), 2018 | | 2018 |
| Investigating the Performance of the Ensemble Learning Methods using the Feature Selection Method Approach, for the Integration of Reflective and Thermal Classifiers to … N Ghasemian, M Akhoondzadeh Hanzaei Journal of Geomatics Science and Technology 7 (1), 137-155, 2017 | | 2017 |
Mehdi AkhoondzadehAssociate Professor at University of Tehran在 ut.ac.ir 的电子邮件经过验证
