Fariba Mohammadimanesh
Orcid: 0000-0002-9472-2324
According to our database1,
Fariba Mohammadimanesh
authored at least 39 papers
between 2017 and 2024.
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Bibliography
2024
Wet-ConViT: A Hybrid Convolutional-Transformer Model for Efficient Wetland Classification Using Satellite Data.
Remote. Sens., July, 2024
CVTNet: A Fusion of Convolutional Neural Networks and Vision Transformer for Wetland Mapping Using Sentinel-1 and Sentinel-2 Satellite Data.
Remote. Sens., July, 2024
CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction.
Remote. Sens., April, 2024
Enhancing Wetland Mapping: Integrating Sentinel-1/2, GEDI Data, and Google Earth Engine.
Sensors, March, 2024
Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using Machine Learning: Multi-Scale Approach.
Remote. Sens., March, 2024
Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Application of Explainable Artificial Intelligence in Predicting Wildfire Spread: An ASPP-Enabled CNN Approach.
IEEE Geosci. Remote. Sens. Lett., 2024
2023
Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification.
Remote. Sens., January, 2023
2022
Remote Sensing and Machine Learning Tools to Support Wetland Monitoring: A Meta-Analysis of Three Decades of Research.
Remote. Sens., December, 2022
WetNet: A Spatial-Temporal Ensemble Deep Learning Model for Wetland Classification Using Sentinel-1 and Sentinel-2.
IEEE Trans. Geosci. Remote. Sens., 2022
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., 2022
Remote. Sens., 2022
PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation.
IEEE Geosci. Remote. Sens. Lett., 2022
3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer.
Ecol. Informatics, 2022
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, 2022
A Desktop-Based Methodology for Collecting Wetland Reference data over Inaccessible Arctic Landscapes.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Iranian Wetland Hydroperiod Change Detection Using an Unsupervised Method on 20 Years of Landsat Data Within the Google Earth Engine.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
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., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective.
Remote. Sens., 2021
Comparing Solo Versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery.
Remote. Sens., 2021
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation.
Remote. Sens., 2021
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth.
Remote. Sens., 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Wetland Mapping of Northern Provinces of Iran Using Sentinel-1 and Sentinel-2 in Google Earth Engine.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
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., 2020
Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America.
Remote. Sens., 2020
Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models.
Remote. Sens., 2020
Hybrid Compact Polarimetric SAR for Environmental Monitoring with the RADARSAT Constellation Mission.
Remote. Sens., 2020
2019
Full and Simulated Compact Polarimetry SAR Responses to Canadian Wetlands: Separability Analysis and Classification.
Remote. Sens., 2019
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., 2019
Mid-season Crop Classification Using Dual-, Compact-, and Full-Polarization in Preparation for the Radarsat Constellation Mission (RCM).
Remote. Sens., 2019
2018
Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery.
Remote. Sens., 2018
An efficient feature optimization for wetland mapping by synergistic use of SAR intensity, interferometry, and polarimetry data.
Int. J. Appl. Earth Obs. Geoinformation, 2018
A New Hierarchical Object-Based Classification Algorithm for Wetland Mapping in Newfoundland, Canada.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
X-band interferometric sar observations for wetland water level monitoring in newfoundland and labrador.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
A new speckle reduction algorithm of polsar images based on a combined Gaussian random field model and wavelet edge detection approach.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017