DOI: 10.1016/j.jag.2014.11.013
Scopus记录号: 2-s2.0-84963838313
论文题名: Detecting tents to estimate the displaced populations for post-disaster relief using high resolution satellite imagery
作者: Wang S ; , So E ; , Smith P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 36 起始页码: 87
结束页码: 93
语种: 英语
英文关键词: Automate
; Disaster
; Panchromatic
; Refugee
; Relief operation
; Remote sensing
Scopus关键词: disaster relief
; image resolution
; refugee
; remote sensing
; satellite imagery
; spatial resolution
英文摘要: Estimating the number of refugees and internally displaced persons is important for planning and managing an efficient relief operation following disasters and conflicts. Accurate estimates of refugee numbers can be inferred from the number of tents. Extracting tents from high-resolution satellite imagery has recently been suggested. However, it is still a significant challenge to extract tents automatically and reliably from remote sensing imagery. This paper describes a novel automated method, which is based on mathematical morphology, to generate a camp map to estimate the refugee numbers by counting tents on the camp map. The method is especially useful in detecting objects with a clear shape, size, and significant spectral contrast with their surroundings. Results for two study sites with different satellite sensors and different spatial resolutions demonstrate that the method achieves good performance in detecting tents. The overall accuracy can be up to 81% in this study. Further improvements should be possible if over-identified isolated single pixel objects can be filtered. The performance of the method is impacted by spectral characteristics of satellite sensors and image scenes, such as the extent of area of interest and the spatial arrangement of tents. It is expected that the image scene would have a much higher influence on the performance of the method than the sensor characteristics. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79503
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, Cambridge, United Kingdom; Institute of Environmental and Biological Sciences, University of Aberdeen, Aberdeen, United Kingdom
Recommended Citation:
Wang S,, So E,, Smith P. Detecting tents to estimate the displaced populations for post-disaster relief using high resolution satellite imagery[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,36