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ORCIDFariba Mohammadimanesh
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2020 – today
- 2024
[j30]Mohammad Marjani
, Masoud MahdianPari, Seyed Ali Ahmadi, Emadoddin Hemmati, Fariba Mohammadimanesh, Mohammad Saadi Mesgari:
Application of Explainable Artificial Intelligence in Predicting Wildfire Spread: An ASPP-Enabled CNN Approach. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j29]MohammadAli Hemati, Masoud MahdianPari, Hodjat Shiri, Fariba Mohammadimanesh:
Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using Machine Learning: Multi-Scale Approach. Remote. Sens. 16(5): 831 (2024) - [j28]Mohammad Marjani, Masoud MahdianPari, Fariba Mohammadimanesh:
CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction. Remote. Sens. 16(8): 1467 (2024) - [j27]Mohammad Marjani, Masoud MahdianPari, Fariba Mohammadimanesh, Eric W. Gill:
CVTNet: A Fusion of Convolutional Neural Networks and Vision Transformer for Wetland Mapping Using Sentinel-1 and Sentinel-2 Satellite Data. Remote. Sens. 16(13): 2427 (2024) - [j26]Ali Radman, Fariba Mohammadimanesh, Masoud MahdianPari:
Wet-ConViT: A Hybrid Convolutional-Transformer Model for Efficient Wetland Classification Using Satellite Data. Remote. Sens. 16(14): 2673 (2024) - [j25]Hamid Jafarzadeh, Masoud MahdianPari, Eric W. Gill, Fariba Mohammadimanesh:
Enhancing Wetland Mapping: Integrating Sentinel-1/2, GEDI Data, and Google Earth Engine. Sensors 24(5): 1651 (2024) - [j24]Benyamin Hosseiny, Masoud MahdianPari, MohammadAli Hemati, Ali Radman, Fariba Mohammadimanesh, Jocelyn Chanussot:
Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1035-1052 (2024) - 2023
- [j23]Ali Radman, Masoud MahdianPari, Brian Brisco, Bahram Salehi, Fariba Mohammadimanesh:
Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification. Remote. Sens. 15(1): 75 (2023) - 2022
- [j22]Ali Jamali, Masoud MahdianPari, Fariba Mohammadimanesh, Saeid Homayouni:
A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples. Int. J. Appl. Earth Obs. Geoinformation 115: 103095 (2022) - [j21]Ali Jamali, Masoud MahdianPari, Brian Brisco, Dehua Mao, Bahram Salehi, Fariba Mohammadimanesh:
3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer. Ecol. Informatics 72: 101904 (2022) - [j20]Ali Jamali, Masoud MahdianPari, Fariba Mohammadimanesh, Avik Bhattacharya, Saeid Homayouni:
PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j19]Mohammed Dabboor, Ian Olthof, Masoud MahdianPari, Fariba Mohammadimanesh, Mohammed Shokr, Brian Brisco, Saeid Homayouni:
The RADARSAT Constellation Mission Core Applications: First Results. Remote. Sens. 14(2): 301 (2022) - [j18]Hamid Jafarzadeh, Masoud MahdianPari, Eric W. Gill, Brian Brisco, Fariba Mohammadimanesh:
Remote Sensing and Machine Learning Tools to Support Wetland Monitoring: A Meta-Analysis of Three Decades of Research. Remote. Sens. 14(23): 6104 (2022) - [j17]Ali Jamali, Masoud MahdianPari, Fariba Mohammadimanesh, Brian Brisco, Bahram Salehi:
3-D Hybrid CNN Combined With 3-D Generative Adversarial Network for Wetland Classification With Limited Training Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8095-8108 (2022) - [j16]Benyamin Hosseiny, Masoud MahdianPari, Brian Brisco, Fariba Mohammadimanesh, Bahram Salehi:
WetNet: A Spatial-Temporal Ensemble Deep Learning Model for Wetland Classification Using Sentinel-1 and Sentinel-2. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c9]Mohammed Dabboor, Ian Olthof, Masoud MahdianPari, Fariba Mohammadimanesh, Mohammed Shokr, Brian Brisco, Saeid Homayouni:
Results Update on the Performance of the Radarsat Constellation Mission. IGARSS 2022: 4427-4430 - [c8]Michael Allan Merchant, Brian Brisco, Masoud MahdianPari, Jean Granger, Fariba Mohammadimanesh, Ben DeVries, Aaron Berg:
A Desktop-Based Methodology for Collecting Wetland Reference data over Inaccessible Arctic Landscapes. IGARSS 2022: 5893-5896 - [c7]MohammadAli Hemati, Masoud MahdianPari, Mahdi Hasanlou, Fariba Mohammadimanesh:
Iranian Wetland Hydroperiod Change Detection Using an Unsupervised Method on 20 Years of Landsat Data Within the Google Earth Engine. IGARSS 2022: 6209-6212 - [c6]Ali Jamali, Fariba Mohammadimanesh, Masoud MahdianPari:
Wetland Classification with Swin Transformer Using Sentinel-1 and Sentinel-2 Data. IGARSS 2022: 6213-6216 - 2021
- [j15]Ali Jamali, Masoud MahdianPari, Brian Brisco, Jean Granger, Fariba Mohammadimanesh, Bahram Salehi:
Comparing Solo Versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery. Remote. Sens. 13(11): 2046 (2021) - [j14]MohammadAli Hemati, Mahdi Hasanlou, Masoud MahdianPari, Fariba Mohammadimanesh:
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth. Remote. Sens. 13(15): 2869 (2021) - [j13]Rabia Munsaf Khan, Bahram Salehi, Masoud MahdianPari, Fariba Mohammadimanesh, Giorgos Mountrakis, Lindi J. Quackenbush:
A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective. Remote. Sens. 13(21): 4347 (2021) - [j12]Hamid Jafarzadeh, Masoud MahdianPari, Eric Gill, Fariba Mohammadimanesh, Saeid Homayouni:
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation. Remote. Sens. 13(21): 4405 (2021) - [j11]Hamid Ghanbari, Masoud MahdianPari, Saeid Homayouni, Fariba Mohammadimanesh:
A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3602-3613 (2021) - [j10]Masoud MahdianPari, Brian Brisco, Jean Granger, Fariba Mohammadimanesh, Bahram Salehi, Saeid Homayouni, Laura L. Bourgeau-Chavez:
The Third Generation of Pan-Canadian Wetland Map at 10 m Resolution Using Multisource Earth Observation Data on Cloud Computing Platform. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 8789-8803 (2021) - [c5]Masoud MahdianPari, Hamid Jafarzadeh, Jean Granger, Fariba Mohammadimanesh, Brian Brisco, Bahram Salehi, Saeid Homayouni, Qihao Weng:
Monitoring of 30 Years Wetland Changes in Newfoundland, Canada. IGARSS 2021: 88-91 - [c4]MohammadAli Hemati, Mahdi Hasanlou, Masoud MahdianPari, Fariba Mohammadimanesh:
Wetland Mapping of Northern Provinces of Iran Using Sentinel-1 and Sentinel-2 in Google Earth Engine. IGARSS 2021: 96-99 - 2020
- [j9]Masoud MahdianPari, Jean Granger, Fariba Mohammadimanesh, Bahram Salehi, Brian Brisco, Saeid Homayouni, Eric Gill, Brian Huberty, Megan Lang:
Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America. Remote. Sens. 12(11): 1882 (2020) - [j8]Brian Brisco, Masoud MahdianPari, Fariba Mohammadimanesh:
Hybrid Compact Polarimetric SAR for Environmental Monitoring with the RADARSAT Constellation Mission. Remote. Sens. 12(20): 3283 (2020) - [j7]Roghieh Eskandari, Masoud MahdianPari, Fariba Mohammadimanesh, Bahram Salehi, Brian Brisco, Saeid Homayouni:
Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models. Remote. Sens. 12(21): 3511 (2020) - [j6]Mohammadreza Sheykhmousa, Masoud MahdianPari, Hamid Ghanbari, Fariba Mohammadimanesh, Pedram Ghamisi, Saeid Homayouni:
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6308-6325 (2020)
2010 – 2019
- 2019
- [j5]Masoud MahdianPari, Bahram Salehi, Fariba Mohammadimanesh, Saeid Homayouni, Eric Gill:
The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform. Remote. Sens. 11(1): 43 (2019) - [j4]Fariba Mohammadimanesh, Bahram Salehi, Masoud MahdianPari, Brian Brisco, Eric Gill:
Full and Simulated Compact Polarimetry SAR Responses to Canadian Wetlands: Separability Analysis and Classification. Remote. Sens. 11(5): 516 (2019) - [j3]Masoud MahdianPari, Fariba Mohammadimanesh, Heather McNairn, Andrew A. Davidson, Mohammad Rezaee, Bahram Salehi, Saeid Homayouni:
Mid-season Crop Classification Using Dual-, Compact-, and Full-Polarization in Preparation for the Radarsat Constellation Mission (RCM). Remote. Sens. 11(13): 1582 (2019) - 2018
- [j2]Fariba Mohammadimanesh, Bahram Salehi, Masoud MahdianPari, Mahdi Motagh, Brian Brisco:
An efficient feature optimization for wetland mapping by synergistic use of SAR intensity, interferometry, and polarimetry data. Int. J. Appl. Earth Obs. Geoinformation 73: 450-462 (2018) - [j1]Masoud MahdianPari, Bahram Salehi, Mohammad Rezaee, Fariba Mohammadimanesh, Yun Zhang:
Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery. Remote. Sens. 10(7): 1119 (2018) - [c3]Fariba Mohammadimanesh, Bahram Salehi, Masoud MahdianPari, Mahdi Motagh:
A New Hierarchical Object-Based Classification Algorithm for Wetland Mapping in Newfoundland, Canada. IGARSS 2018: 9233-9236 - 2017
- [c2]Masoud MahdianPari, Bahram Salehi, Fariba Mohammadimanesh:
A new speckle reduction algorithm of polsar images based on a combined Gaussian random field model and wavelet edge detection approach. IGARSS 2017: 2349-2352 - [c1]Fariba Mohammadimanesh, Bahram Salehi, Masoud MahdianPari, Mahdi Motagh:
X-band interferometric sar observations for wetland water level monitoring in newfoundland and labrador. IGARSS 2017: 3159-3162
Coauthor Index
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