| 1 |
Forest Vertical Structure Mapping Using Two-Seasonal Optic Images and LiDAR DSM Acquired from UAV Platform through Random Forest, XGBoost, and Support Vector Machine Approaches |
2021 |
| 2 |
Mapping Forest Vertical Structure in Sogwang-ri Forest from Full-Waveform Lidar Point Clouds Using Deep Neural Network |
2021 |
| 3 |
Performance Comparison of Oil Spill and Ship Classification from X-Band Dual- and Single-Polarized SAR Image Using Support Vector Machine, Random Forest, and Deep Neural Network |
2021 |
| 4 |
Remote Sensing and Geoscience Information Systems Applied to Groundwater Research |
2021 |
| 5 |
Mapping Forest Vertical Structure in Gong-ju, Korea Using Sentinel-2 Satellite Images and Artificial Neural Networks |
2020 |
| 6 |
Mapping Forest Vertical Structure in Jeju Island from Optical and Radar Satellite Images Using Artificial Neural Network |
2020 |
| 7 |
Precise Three-Dimensional Deformation Retrieval in Large and Complex Deformation Areas via Integration of Offset-Based Unwrapping and Improved Multiple-Aperture SAR Interferometry: Application to the ... |
2020 |
| 8 |
Satellite radar observation of large surface collapses induced by the 2017 North Korea nuclear test |
2020 |
| 9 |
Ship Detection from X-Band SAR Images Using M2Det Deep Learning Model |
2020 |
| 10 |
Susceptibility Mapping on Urban Landslides Using Deep Learning Approaches in Mt. Umyeon |
2020 |
