Christopher A. Ramezan

Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification

Christopher A. Ramezan, Timothy A. Warner, Aaron E. Maxwell · Remote Sensing · 2019 · 298 citations · Full text

Cross-validation Tuning Strategies, Engineering, Machine Learning +25

Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data

Christopher A. Ramezan, Timothy A. Warner, Aaron E. Maxwell et al. · Remote Sensing · 2021 · 187 citations · Full text

Vector Quantization, Engineering, Machine Learning +30

Large-Area, High Spatial Resolution Land Cover Mapping Using Random Forests, GEOBIA, and NAIP Orthophotography: Findings and Recommendations

Aaron E. Maxwell, Michael P. Strager, Timothy A. Warner et al. · Remote Sensing · 2019 · 93 citations · Full text

Engineering, Machine Learning, Land Use +20

Semantic Segmentation Deep Learning for Extracting Surface Mine Extents from Historic Topographic Maps

Aaron E. Maxwell, Michelle S. Bester, Luis Andrés Guillén et al. · Remote Sensing · 2020 · 59 citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +23

Transferability of Recursive Feature Elimination (RFE)-Derived Feature Sets for Support Vector Machine Land Cover Classification

Christopher A. Ramezan · Remote Sensing · 2022 · 45 citations · Full text

Engineering, Machine Learning, Feature Selection +17