Towards Vulnerability Mapping on High Resolution Aerial Images: Roof Detection, GIS, and Machine Learning Techniques

• Main Authors: Bardeloza, D K, Libatique, Nathaniel Joseph C, Tangonan, Gregory L, Vicente, M C T, Honrado, J
• Format: text
• Published: Archīum Ateneo 2019
• Subjects: Sociology; Statistics; Image segmentation; Buildings; Satellites; Spatial resolution; Estimation; Electrical and Computer Engineering
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/25; https://ieeexplore.ieee.org/abstract/document/9033030
• Institution: Ateneo De Manila University

Determining disaster-critical areas are essential when it comes to disaster risk reduction and response. One tool that can assist in this effort is vulnerability mapping. This study explores roof detection and segmentation using machine learning and geospatial information systems techniques in which...