An urban expansion model for African cities using fused multi temporal optical and SAR data

M. Shimoni, J. Lopez, Y. Forget, E. Wolff, C. Michellier, T. Grippa, C. Linard, Marius Gilbert

    Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

    Abstract

    The 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.

    Original languageEnglish
    Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1159-1162
    Number of pages4
    Volume2015-November
    ISBN (Electronic)9781479979295
    DOIs
    Publication statusPublished - 10 Nov 2015
    EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
    Duration: 26 Jul 201531 Jul 2015

    Conference

    ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
    Country/TerritoryItaly
    CityMilan
    Period26/07/1531/07/15

    Keywords

    • density
    • fusion processing
    • support vector machine (SVM)
    • Urban expansion

    Fingerprint

    Dive into the research topics of 'An urban expansion model for African cities using fused multi temporal optical and SAR data'. Together they form a unique fingerprint.

    Cite this