An Automated Framework for Plant Detection Based on Deep Simulated Learning from Drone Imagery. - Benyamin Hosseiny; Heidar Rastiveis; Saeid Homayouni (Remote. Sens., 2020)

Simulation and Evaluation of an mm-Wave MIMO Ground-Based SAR Imaging System for Displacement Monitoring. - Benyamin Hosseiny; Jalal Amini; Safieddin Safavi-Naeini (IGARSS, 2021)

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)

Structural displacement monitoring using ground-based synthetic aperture radar. - Benyamin Hosseiny; Jalal Amini; Hossein Aghababaei (Int. J. Appl. Earth Obs. Geoinformation, 2023)

D-Net: A Density-Based Convolutional Neural Network for Mobile LiDAR Point Clouds Classification in Urban Areas. - Mahdiye Zaboli; Heidar Rastiveis; Benyamin Hosseiny; Danesh Shokri; Wayne A. Sarasua; Saeid Homayouni (Remote. Sens., 2023)

Enabling High-Resolution Micro-Vibration Detection Using Ground-Based Synthetic Aperture Radar: A Case Study for Pipeline Monitoring. - Benyamin Hosseiny; Jalal Amini; Hossein Aghababaei; Giampaolo Ferraioli (Remote. Sens., 2023)

Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches. - Benyamin Hosseiny; Masoud MahdianPari; MohammadAli Hemati; Ali Radman; Fariba Mohammadimanesh; Jocelyn Chanussot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)