Fariba Mohammadimanesh

Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

Mohammadreza Sheykhmousa, Masoud Mahdianpari, Hamid Ghanbari et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2020 · 1K citations · Full text

Engineering, Machine Learning, Forest Biometrics +20

Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

Masoud Mahdianpari, Bahram Salehi, Mohammad Rezaee et al. · Remote Sensing · 2018 · 423 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +20

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 et al. · Remote Sensing · 2018 · 294 citations · Full text

Earth Observation, Environmental Monitoring, Engineering +18

Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery

Masoud Mahdianpari, Bahram Salehi, Fariba Mohammadimanesh et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2017 · 276 citations

Environmental Monitoring, Terrasar-x Imagery, Alos-2 L-band +14

A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

Fariba Mohammadimanesh, Bahram Salehi, Masoud Mahdianpari et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2019 · 222 citations

Radar, Earth Observation, Convolutional Neural Network +15