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dc.contributor.authorShimoni, M.
dc.contributor.authorLopez, J.
dc.contributor.authorForget, Y.
dc.contributor.authorWolff, E.
dc.contributor.authorMichellier, C.
dc.contributor.authorGrippa, T.
dc.contributor.authorLinard, C.
dc.contributor.authorGilbert, M.
dc.coverage.spatialAfrica - Central
dc.coverage.spatialCongo, The Democratic Republic of the
dc.date2015
dc.date.accessioned2016-03-15T10:07:44Z
dc.date.available2016-03-15T10:07:44Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/2510
dc.descriptionThe forecast of human population distribution in Africa is limited by the lack of spatial urban expansion model and the quality of its data sources. One way to overcome this shortcoming is to integrate multi-source and multi-temporal data for improving the delineation and the characterization of human settlements. This paper presents a fully automatic fusion processing scheme of multi-temporal SAR and optical data for improving the segmentation of African urban areas.
dc.languageeng
dc.titleAn urban expansion model for african cities using fused multi temporal optical and sar data
dc.typeConference
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeNatural hazards
dc.source.titleIGARSS
Orfeo.peerreviewedNo
dc.identifier.rmca4334


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