UCSY's Research Repository

Analysing the Effect of Disaster

Show simple item record

dc.contributor.author Aung, Thida
dc.contributor.author Sein, Myint Myint
dc.date.accessioned 2020-11-18T10:44:54Z
dc.date.available 2020-11-18T10:44:54Z
dc.date.issued 2017-10
dc.identifier.other 10.1007/978-3-319-48490-7_28
dc.identifier.uri https://onlineresource.ucsy.edu.mm/handle/123456789/2533
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher International Conference on Genetic and Evolutionary Computing en_US
dc.subject Morphological Building Index en_US
dc.subject Change Detection en_US
dc.subject Disaster Effect en_US
dc.subject Slow Feature Analysis en_US
dc.title Analysing the Effect of Disaster en_US
dc.type Article en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository


My Account