Visualization of the Automatic Detection Results of the Affected Areas Before and After the Earthquake Disaster Using LP data

Abstract

 It is essential for disaster recovery to grasp the state of disaster promptly and properly. Existing assets useful in grasping affected areas such as LP are accumulated in river projects. Then, the detailed conditions of the affected areas can be grasped by comparing the three-dimensional CAD data generated from the existing asset LP with the dimensional CAD data from the LP after the earthquake disaster . However, while rapid response is required in recovery response, it takes much work to confirm all the affected areas in detail. This research first analyzes the situations of damage caused by the Great East Japan Earthquake, and set up guidelines for detecting affected areas. Second, a method for automatically detecting possible affected areas is proposed utilizing LP before and after the earthquake disaster. To evaluate usefulness of the proposed method, demonstration experiments are performed using LP obtained in the Great East Japan Earthquake, and the detection accuracy of the possible affected areas is evaluated.