Extraction of landslides in the 2016 Kumamoto earthquake using multi-temporal Lidar data
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SPIE
Reference21 articles.
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3. A Deep Learning Model for Road Damage Detection After an Earthquake Based on Synthetic Aperture Radar (SAR) and Field Datasets;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022
4. SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan;Applied Sciences;2020-12-14
5. Detection of Earthquake-Induced Landslides during the 2018 Kumamoto Earthquake Using Multitemporal Airborne Lidar Data;Remote Sensing;2019-10-01
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