Information extraction from very high resolution satellite imagery over Lukole refugee camp,Tanzania |
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| Authors: | S Giada T De Groeve D Ehrlich P Soille |
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| Affiliation: | 1. Institute for the Protection and Security of the Citizen , Joint Research Centre of the European Commission , TP 267, 21020 Ispra (VA), Italy E-mail: silvia.giada@jrc.it tom.de-groeve@jrc.it daniele.ehrlich@jrc.it;2. Institute for the Environment and Sustainability , Joint Research Centre of the European Commission , TP 262, 21020 Ispra (VA), Italy E-mail: pierre.soille@jrc.it |
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| Abstract: | This paper addresses information extraction from IKONOS imagery over the Lukole refugee camp in Tanzania. More specific, it describes automatic image analysis procedures for a rapid and reliable identification of refugee tents as well as their spatial extent. From the identified tents, the number of refugees can be derived and a map of the camp can be generated, which can be used for improving refugee camp management. Four information extraction methods have been tested and compared: supervised classification, unsupervised classification, multi-resolution segmentation and mathematical morphology analysis. The latter two procedures based on object-oriented classifiers perform best with a spatial accuracy above 85% and a statistical accuracy above 97%. These methods could be used for refugee camp information extraction in other geographical settings and on imagery with different spatial and spectral resolutions. |
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