Abstract:
Analysing the damage area is the critical task for recovery and
reconstruction for the urban area after the disaster. The proposed method is
developed to detect the damage areas after the disaster using the satellite images.
Most countries are exposed to a number of natural hazards such as Tsunami,
Cyclone and landslide. It needs to estimate the destroying areas using the change
detection techniques. In this approach, the pre and post satellite images are used to
detect the damage areas. The main focus of the paper is to develop an approach that
estimates the destroying areas combining the Morphological Building Index (MBI)
and Slow Feature Analysis (SFA). The system output the change map for the
damage area. The results indicate that the proposed approach is encouraging for
automatic detection of damaged buildings and it is a time saving method for
monitoring buildings after the disaster happened.
