Object-Based Classification of Urban Areas Using VHR Imagery and Height Points Ancillary Data. - Bahram Salehi; Yun Zhang 014; Ming Zhong; Vivek Dey (Remote. Sens., 2012)

Automatic Moving Vehicles Information Extraction From Single-Pass WorldView-2 Imagery. - Bahram Salehi; Yun Zhang 014; Ming Zhong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Automatic linear disturbance footprint mapping in Alberta, Canada based on dense time-series Landsat imagery. - Zhaohua Chen 002; Bill Jefferies; Paul Adlakha; Bahram Salehi; Desmond Power (IGARSS, 2014)

Urban area object-based classification by fusion of hyperspectral and LiDAR data. - Kamel Kiani; Barat Mojaradi; Ali Esmaeily; Bahram Salehi (IGARSS, 2014)

A pixel- and object-based image analysis framework for automatic well site extraction at regional scales using Landsat data. - Bahram Salehi; William Jefferies; Paul Adlakha; Zhaohua Chen 002; Pradeep Bobby (IGARSS, 2014)

Evaluation of multi-temporal landsat 8 data for wetland classification in newfoundland, Canada. - Meisam Amani; Bahram Salehi; Sahel Mahdavi; Jean Granger; Brian Brisco (IGARSS, 2017)

A dynamic hierarchical feature selection method for object-based classification of wetlands. - Sahel Mahdavi; Bahram Salehi; Meisam Amani; Jean Granger; Brian Brisco; Weimin Huang 001 (IGARSS, 2017)

A new speckle reduction algorithm of polsar images based on a combined Gaussian random field model and wavelet edge detection approach. - Masoud MahdianPari; Bahram Salehi; Fariba Mohammadimanesh (IGARSS, 2017)

X-band interferometric sar observations for wetland water level monitoring in newfoundland and labrador. - Fariba Mohammadimanesh; Bahram Salehi; Masoud MahdianPari; Mahdi Motagh (IGARSS, 2017)

Wetland Classification Using Deep Convolutional Neural Network. - Masoud MahdianPari; Mohammad Rezaee; Yun Zhang 014; Bahram Salehi (IGARSS, 2018)

A New Hierarchical Object-Based Classification Algorithm for Wetland Mapping in Newfoundland, Canada. - Fariba Mohammadimanesh; Bahram Salehi; Masoud MahdianPari; Mahdi Motagh (IGARSS, 2018)

An efficient feature optimization for wetland mapping by synergistic use of SAR intensity, interferometry, and polarimetry data. - Fariba Mohammadimanesh; Bahram Salehi; Masoud MahdianPari; Mahdi Motagh; Brian Brisco (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Speckle filtering of Synthetic Aperture Radar images using filters with object-size-adapted windows. - Sahel Mahdavi; Bahram Salehi; Cecilia Moloney; Weimin Huang 001; Brian Brisco (Int. J. Digit. Earth, 2018)

Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery. - Masoud MahdianPari; Bahram Salehi; Mohammad Rezaee; Fariba Mohammadimanesh; Yun Zhang 014 (Remote. Sens., 2018)

Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery. - Mohammad Rezaee; Masoud MahdianPari; Yun Zhang 014; Bahram Salehi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

A dynamic classification scheme for mapping spectrally similar classes: Application to wetland classification. - Sahel Mahdavi; Bahram Salehi; Meisam Amani; Jean Granger; Brian Brisco; Weimin Huang 001 (Int. J. Appl. Earth Obs. Geoinformation, 2019)

A PolSAR Change Detection Index Based on Neighborhood Information for Flood Mapping. - Sahel Mahdavi; Bahram Salehi; Weimin Huang 001; Meisam Amani; Brian Brisco (Remote. Sens., 2019)

Mid-season Crop Classification Using Dual-, Compact-, and Full-Polarization in Preparation for the Radarsat Constellation Mission (RCM). - Masoud MahdianPari; Fariba Mohammadimanesh; Heather McNairn; Andrew A. Davidson; Mohammad Rezaee; Bahram Salehi; Saeid Homayouni (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. - Masoud MahdianPari; Bahram Salehi; Fariba Mohammadimanesh; Saeid Homayouni; Eric Gill (Remote. Sens., 2019)

Full and Simulated Compact Polarimetry SAR Responses to Canadian Wetlands: Separability Analysis and Classification. - Fariba Mohammadimanesh; Bahram Salehi; Masoud MahdianPari; Brian Brisco; Eric Gill (Remote. Sens., 2019)

Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review. - Sarina Adeli; Bahram Salehi; Masoud MahdianPari; Lindi J. Quackenbush; Brian Brisco; Haifa Tamiminia; Stephen Shaw (Remote. Sens., 2020)

Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models. - Roghieh Eskandari; Masoud MahdianPari; Fariba Mohammadimanesh; Bahram Salehi; Brian Brisco; Saeid Homayouni (Remote. Sens., 2020)

Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America. - Masoud MahdianPari; Jean Granger; Fariba Mohammadimanesh; Bahram Salehi; Brian Brisco; Saeid Homayouni; Eric Gill; Brian Huberty; Megan Lang (Remote. Sens., 2020)

Wetland Classification Using Simulated NISAR Data: a case study in Louisiana. - Sarina Adeli; Bahram Salehi; Masoud MahidanPari; Lindi J. Quackenbush; Bruce Chapman (IGARSS, 2021)

Monitoring of 30 Years Wetland Changes in Newfoundland, Canada. - Masoud MahdianPari; Hamid Jafarzadeh; Jean Granger; Fariba Mohammadimanesh; Brian Brisco; Bahram Salehi; Saeid Homayouni; Qihao Weng (IGARSS, 2021)

Random Forest Outperformed Convolutional Neural Networks for Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery. - Haifa Tamiminia; Bahram Salehi; Masoud MahdianPari; Colin M. Beier; Daniel J. Klimkowski; Timothy A. Volk (IGARSS, 2021)

Comparing Solo Versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery. - Ali Jamali; Masoud MahdianPari; Brian Brisco; Jean Granger; Fariba Mohammadimanesh; Bahram Salehi (Remote. Sens., 2021)

A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective. - Rabia Munsaf Khan; Bahram Salehi; Masoud MahdianPari; Fariba Mohammadimanesh; Giorgos Mountrakis; Lindi J. Quackenbush (Remote. Sens., 2021)

The Third Generation of Pan-Canadian Wetland Map at 10 m Resolution Using Multisource Earth Observation Data on Cloud Computing Platform. - Masoud MahdianPari; Brian Brisco; Jean Granger; Fariba Mohammadimanesh; Bahram Salehi; Saeid Homayouni; Laura L. Bourgeau-Chavez (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Machine Learning Methods for Water Quality Monitoring Over Finger Lakes Using Sentinel-2. - Rabia Munsaf Khan; Bahram Salehi; Masoud MahdianPari (IGARSS, 2022)

3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer. - Ali Jamali; Masoud MahdianPari; Brian Brisco; Dehua Mao; Bahram Salehi; Fariba Mohammadimanesh (Ecol. Informatics, 2022)

An Improved RANSAC Outlier Rejection Method for UAV-Derived Point Cloud. - Bahram Salehi; Sina Jarahizadeh; Amin Sarafraz (Remote. Sens., 2022)

Mapping Two Decades of New York State Forest Aboveground Biomass Change Using Remote Sensing. - Haifa Tamiminia; Bahram Salehi; Masoud MahdianPari; Colin M. Beier; Lucas K. Johnson (Remote. Sens., 2022)

3-D Hybrid CNN Combined With 3-D Generative Adversarial Network for Wetland Classification With Limited Training Data. - Ali Jamali; Masoud MahdianPari; Fariba Mohammadimanesh; Brian Brisco; Bahram Salehi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

WetNet: A Spatial-Temporal Ensemble Deep Learning Model for Wetland Classification Using Sentinel-1 and Sentinel-2. - Benyamin Hosseiny; Masoud MahdianPari; Brian Brisco; Fariba Mohammadimanesh; Bahram Salehi (IEEE Trans. Geosci. Remote. Sens., 2022)

Gedi and Sentinel-2 Integration for Mapping Complex Wetlands. - Sarina Adeli; Lindi J. Quackenbush; Bahram Salehi; Masoud MahdianPari (IGARSS, 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. - Rabia Munsaf Khan; Bahram Salehi; Milad Niroumand Jadidi; Masoud MahdianPari (IGARSS, 2023)

Generating A 10 M Resolution Canopy Height Model Of New York State Using Gedi And Sentinel-2 Data. - Haifa Tamiminia; Bahram Salehi; Masoud MahdianPari (IGARSS, 2023)

Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification. - Ali Radman; Masoud MahdianPari; Brian Brisco; Bahram Salehi; Fariba Mohammadimanesh (Remote. Sens., 2023)

A Rapid Self-Supervised Deep-Learning-Based Method for Post-Earthquake Damage Detection Using UAV Data (Case Study: Sarpol-e Zahab, Iran). - Narges Takhtkeshha; Ali Mohammadzadeh; Bahram Salehi (Remote. Sens., 2023)

Rapid Large-Scale Wetland Inventory Update Using Multi-Source Remote Sensing. - Victor Igwe; Bahram Salehi; Masoud MahdianPari (Remote. Sens., 2023)

Deep Learning Analysis of UAV Lidar Point Cloud for Individual Tree Detecting. - Sina Jarahizadeh; Bahram Salehi (IGARSS, 2024)

Global vs Local Random Forest Model for Water Quality Monitoring: Assessment in Finger Lakes Using Sentinel-2 Imagery and Gloria Dataset. - Rabia Munsaf Khan; Bahram Salehi; Milad Niroumand Jadidi; Masoud MahdianPari (IGARSS, 2024)

A Comparative Analysis of UAV Photogrammetric Software Performance for Forest 3D Modeling: A Case Study Using AgiSoft Photoscan, PIX4DMapper, and DJI Terra. - Sina Jarahizadeh; Bahram Salehi (Sensors, 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. - Rabia Munsaf Khan; Bahram Salehi; Milad Niroumand Jadidi; Masoud MahdianPari (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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. - Haifa Tamiminia; Bahram Salehi; Masoud MahdianPari; Tristan Goulden (Ecol. Informatics, 2024)