Generative adversarial network augmentation for solving the training data imbalance problem in crop classification

Spatial resolution enhancement method for Landsat imagery using a Generative Adversarial Network

(2021) Vu-Dong Pham et al.   Remote Sensing Letters

The ARYA crop yield forecasting algorithm: Application to the main wheat exporting countries

(2021) B. Franch et al.   International Journal of Applied Earth Observation and Geoinformation

Pix2pix Conditional Generative Adversarial Network with MLP Loss Function for Cloud Removal in a Cropland Time Series

(2021) Luiz E. Christovam et al.   Remote Sensing

High-Resolution U-Net: Preserving Image Details for Cultivated Land Extraction

(2020) Wenna Xu et al.   SENSORS

Synthesis of Satellite-Like Urban Images From Historical Maps Using Conditional GAN

(2020) Henrique J. A. Andrade et al.   IEEE Geoscience and Remote Sensing Letters

A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data

(2019) Nataliia Kussul et al.   International Journal of Digital Earth

Thermal Infrared Pedestrian Segmentation Based on Conditional GAN

(2019) Peng Wang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world

(2018) Pierre Defourny et al.   REMOTE SENSING OF ENVIRONMENT

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

(2011) Claire Boryan et al.   Geocarto International