期刊
PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION
卷 -, 期 3, 页码 185-195出版社
E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG
DOI: 10.1127/1432-8364/2013/0169
关键词
object-based image analysis; refugee and IDP camps; GMES; knowledge-based rule-sets; information products; conditioned information
资金
- European Commission (EC) [SNE3-CT-2003-503699, 031046, 218822, 242385]
- Medecins Sans Frontieres (MSF) Austria
- Karl Kahane Foundation
Assistance to displaced people in crisis situations requires coordinated and timely action. The latest generation of very high resolution satellite imagery, previously limited in terms of availability and/or resolution, has opened new possibilities for aid organisations to enhance their own reconnaissance. This paper documents the development of algorithms for automated satellite imagery based analysis of refugee and IDP (internally displaced people) camps, and their application over several years under varying conditions, i.e. different sensors and different areas. At fourteen sites VHR (very high resolution) satellite data of four different sensors were used to analyse camps by applying automated dwelling extraction including dwelling differentiation, dwelling density calculation and camp outline estimations, as well as camp monitoring over time. Ranging from experimental stage research, over real-time and benchmarking exercises to pre-operational information provision, the OBIA (object-based image analysis) processing routines greatly matured in terms of transferability, usability and operability.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据