Using UAV Image Histogram Kurtosis and Skewness to Automatically Differentiate Typhoon-Damaged Rice Field Regions from Undamaged Regions

• Main Authors: Eclarin, Niño, Fernandez, Proceso
• Format: text
• Published: Archīum Ateneo 2023
• Subjects: Aircraft; machine learning; Computer Engineering; Electrical and Computer Engineering; Engineering
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/400; https://doi.org/10.1063/5.0124485
• Institution: Ateneo De Manila University

Typhoons can cause extreme damages to rice fields causing revenue loss for farmers if not addressed early. However, timely damage assessment is difficult due to the scale of rice fields. In this study, we utilized images captured by a commercially available unmanned aerial vehicle (UAV) to create a...