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Document quand l'auteur est "Mohammadimanesh, Fariba"

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Nombre de documents archivés : 14.

Jamali, Ali; Mahdianpari, Masoud; Mohammadimanesh, Fariba et Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356 (2022). A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples. International Journal of Applied Earth Observation and Geoinformation , vol. 115 . p. 103095. DOI: 10.1016/j.jag.2022.103095.

Dabboor, Mohammed; Olthof, Ian; Mahdianpari, Masoud; Mohammadimanesh, Fariba; Shokr, Mohammed; Brisco, Brian et Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356 (2022). The RADARSAT Constellation Mission Core Applications: First Results. Remote Sensing , vol. 14 , nº 2. p. 301. DOI: 10.3390/rs14020301.

Ghanbari, Hamid; Mahdianpari, Masoud; Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356 et Mohammadimanesh, Fariba (2021). A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 14 . pp. 3602-3613. DOI: 10.1109/JSTARS.2021.3065569.

Jafarzadeh, Hamid; Mahdianpari, Masoud; Gill, Eric; Mohammadimanesh, Fariba et Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356 (2021). Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation. Remote Sensing , vol. 13 , nº 21. p. 4405. DOI: 10.3390/rs13214405.

Mahdianpari, Masoud; Brisco, Brian; Granger, Jean Elizabeth; Mohammadimanesh, Fariba; Salehi, Bahram; Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356 et Bourgeau-Chavez, Laura (2021). Mapping Pan-Canadian Wetlands Using Multi-Source Earth Observations: The Third Generation of 10m Canadian Wetland Inventory Map. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 14 . pp. 8789-8803. DOI: 10.1109/JSTARS.2021.3105645.

Jafarzadeh, Hamid; Mahdianpari, Masoud; Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356; Mohammadimanesh, Fariba et Dabboor, Mohammed (2021). Oil spill detection from Synthetic Aperture Radar Earth observations: a meta-analysis and comprehensive review. GIScience & Remote Sensing , vol. 58 , nº 7. pp. 1022-1051. DOI: 10.1080/15481603.2021.1952542.

Mahdianpari, Masoud; Brisco, Brian; Granger, Jean Elizabeth; Mohammadimanesh, Fariba; Salehi, Bahram; Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356 et Bourgeau-Chavez, Laura (2021). The Third Generation of Pan-Canadian Wetland Map at 10 m Resolution Using Multisource Earth Observation Data on Cloud Computing Platform. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 14 . pp. 8789-8803. DOI: 10.1109/JSTARS.2021.3105645.

Mahdianpari, Masoud; Jafarzadeh, Hamid; Granger, Jean Elizabeth; Mohammadimanesh, Fariba; Brisco, Brian; Salehi, Bahram; Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356 et Weng, Qihao (2020). A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland. GIScience & Remote Sensing , vol. 57 , nº 8. pp. 1102-1124. DOI: 10.1080/15481603.2020.1846948.

Mahdianpari, Masoud; Salehi, Bahram; Mohammadimanesh, Fariba; Brisco, Brian; Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356; Gill, Eric; DeLancey, Evan R. et Bourgeau-Chavez, Laura (2020). Big Data for a Big Country: The First Generation of Canadian Wetland Inventory Map at a Spatial Resolution of 10-m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform / Mégadonnées pour un grand pays: La première carte d'inventaire des zones humides du Canada à une résolution de 10 m à l'aide des données Sentinel-1 et Sentinel-2 sur la plate-forme informatique en nuage de Google Earth Engine™. Canadian Journal of Remote Sensing , vol. 46 , nº 1. pp. 15-33. DOI: 10.1080/07038992.2019.1711366.

Eskandari, Roghieh; Mahdianpari, Masoud; Mohammadimanesh, Fariba; Salehi, Bahram; Brisco, Brian et Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356 (2020). Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models. Remote Sensing , vol. 12 , nº 21. p. 3511. DOI: 10.3390/rs12213511.

Mahdianpari, Masoud; Granger, Jean Elizabeth; Mohammadimanesh, Fariba; Salehi, Bahram; Brisco, Brian; Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356; Gill, Eric; Huberty, Brian et Lang, Megan (2020). Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America. Remote Sensing , vol. 12 , nº 11. p. 1882. DOI: 10.3390/rs12111882.

Sheykhmousa, Mohammadreza; Mahdianpari, Masoud; Ghanbari, Hamid; Mohammadimanesh, Fariba; Ghamisi, Pedram et Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356 (2020). Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 13 . pp. 6308-6325. DOI: 10.1109/JSTARS.2020.3026724.

Mahdianpari, Masoud; Brisco, Brian; Granger, Jean Elizabeth; Mohammadimanesh, Fariba; Salehi, Bahram; Banks, Sarah; Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356; Bourgeau-Chavez, Laura et Weng, Qihao (2020). The Second Generation Canadian Wetland Inventory Map at 10 Meters Resolution Using Google Earth Engine. Canadian Journal of Remote Sensing , vol. 46 , nº 3. pp. 360-375. DOI: 10.1080/07038992.2020.1802584.

Mahdianpari, Masoud; Mohammadimanesh, Fariba; McNairn, Heather; Davidson, Andrew; Rezaee, Mohammad; Salehi, Bahram et Homayouni, Saeid ORCID logoORCID: https://orcid.org/0000-0002-0214-5356 (2019). Mid-season Crop Classification Using Dual-, Compact-, and Full-polarization in Preparation for the Radarsat Constellation Mission (RCM). Remote Sensing , vol. 11 , nº 13. p. 1582. DOI: 10.3390/rs11131582.

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