Abstract:
Detecting the damaged area is the critical task
for recovery and reconstruction work. Traditional
damage detection or change detection method focus
on two dimensional changes detection, whereas the
two dimensional information delivered by the images
is often not sufficient and accurate when dealing with
building damage detection. In 24th August of 2016,
the magnitude 6.8 earthquake struck at the historic
city of Bagan, Myanmar. It caused huge damaged
portion in historic pagodas in Bagan. The proposed
method aims to detect the damaged area of the
ancient pagodas after the earthquake. The point
clouds output from the Pix4D software are used to
input the system. The unnecessary point clouds are
eliminated and calculate the damaged percentage of
the specific pagodas. The post 3D images and their
point cloud are used to estimate the damaging area.
The purpose system detects the percentage of the
damaged portion of the whole pagoda.
