DOI: 10.1016/j.jag.2017.07.010
Scopus记录号: 2-s2.0-85032500136
论文题名: Enhanced change detection index for disaster response, recovery assessment and monitoring of buildings and critical facilities—A case study for Muzzaffarabad, Pakistan
作者: de Alwis Pitts D ; A ; , So E
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 63 起始页码: 167
结束页码: 177
语种: 英语
英文关键词: Buildings
; Change detection
; Critical infrastructure
; Disaster response and recovery
; Remote sensing
Scopus关键词: assessment method
; detection method
; disaster management
; GIS
; infrastructure
; monitoring
; remote sensing
; satellite data
; satellite imagery
; Pakistan
英文摘要: The availability of Very High Resolution (VHR) optical sensors and a growing image archive that is frequently updated, allows the use of change detection in post-disaster recovery and monitoring for robust and rapid results. The proposed semi-automated GIS object-based method uses readily available pre-disaster GIS data and adds existing knowledge into the processing to enhance change detection. It also allows targeting specific types of changes pertaining to similar man-made objects such as buildings and critical facilities. The change detection method is based on pre/post normalized index, gradient of intensity, texture and edge similarity filters within the object and a set of training data. More emphasis is put on the building edges to capture the structural damage in quantifying change after disaster. Once the change is quantified, based on training data, the method can be used automatically to detect change in order to observe recovery over time in potentially large areas. Analysis over time can also contribute to obtaining a full picture of the recovery and development after disaster, thereby giving managers a better understanding of productive management and recovery practices. The recovery and monitoring can be analyzed using the index in zones extending from to epicentre of disaster or administrative boundaries over time. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79955
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Architecture, University of Cambridge, United Kingdom
Recommended Citation:
de Alwis Pitts D,A,, So E. Enhanced change detection index for disaster response, recovery assessment and monitoring of buildings and critical facilities—A case study for Muzzaffarabad, Pakistan[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,63