Bahram Salehi
Orcid: 0000-0002-7742-5475
According to our database1,
Bahram Salehi
authored at least 44 papers
between 2012 and 2024.
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Bibliography
2024
State-wide forest canopy height and aboveground biomass map for New York with 10 m resolution, integrating GEDI, Sentinel-1, and Sentinel-2 data.
Ecol. Informatics, March, 2024
Mapping Water Clarity in Small Oligotrophic Lakes Using Sentinel-2 Imagery and Machine Learning Methods: A Case Study of Canandaigua Lake in Finger Lakes, New York.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
A Comparative Analysis of UAV Photogrammetric Software Performance for Forest 3D Modeling: A Case Study Using AgiSoft Photoscan, PIX4DMapper, and DJI Terra.
Sensors, 2024
2023
Remote. Sens., October, 2023
A Rapid Self-Supervised Deep-Learning-Based Method for Post-Earthquake Damage Detection Using UAV Data (Case Study: Sarpol-e Zahab, Iran).
Remote. Sens., January, 2023
Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification.
Remote. Sens., January, 2023
Generating A 10 M Resolution Canopy Height Model Of New York State Using Gedi And Sentinel-2 Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Quantification and Mapping of Water Clarity for Freshwater Lakes Using Sentinel-2 Data and Random Forest Regression Model: Application on Finger Lakes, New York.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
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
Mapping Two Decades of New York State Forest Aboveground Biomass Change Using Remote Sensing.
Remote. Sens., 2022
Remote. Sens., 2022
3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer.
Ecol. Informatics, 2022
Machine Learning Methods for Water Quality Monitoring Over Finger Lakes Using Sentinel-2.
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
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
Random Forest Outperformed Convolutional Neural Networks for Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
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
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
Remote. Sens., 2019
A dynamic classification scheme for mapping spectrally similar classes: Application to wetland classification.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery.
Remote. Sens., 2018
Speckle filtering of Synthetic Aperture Radar images using filters with object-size-adapted windows.
Int. J. Digit. Earth, 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
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
A dynamic hierarchical feature selection method for object-based classification of wetlands.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Evaluation of multi-temporal landsat 8 data for wetland classification in newfoundland, Canada.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2014
A pixel- and object-based image analysis framework for automatic well site extraction at regional scales using Landsat data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Automatic linear disturbance footprint mapping in Alberta, Canada based on dense time-series Landsat imagery.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2012
Automatic Moving Vehicles Information Extraction From Single-Pass WorldView-2 Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
Object-Based Classification of Urban Areas Using VHR Imagery and Height Points Ancillary Data.
Remote. Sens., 2012