Towards a typology of land-cover/land-use evolutions using high resolution satellite image time series: application to the metropolitan area of Strasbourg (France)

F.N. Güttler, A. Puissant, P. Gançarski

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Abstract

In this work, we propose an original approach to extract structured information from long-term satellite image time series (SITS) which can be employed to construct a typology of land-cover/land-use (LCLU) evolutions. Through a semi-supervised framework we combine per-pixel and object-based image analysis with data mining techniques. Our experiments are applied to the metropolitan area of Strasbourg (France) using nine high spatial resolution (20 m) SPOT images acquired between 1992 and 2011. The framework is organized in four main steps: (a) construction of image objects, (b) multi-strategy fuzzy learning approach to predict LCLU class membership at pixel level, (c) generation of structured information at object level and (d) mining structured information across the time-series.
Original languageEnglish
Title of host publicationProceedings of GEOBIA 2016
Subtitle of host publicationSolutions and synergies, 14-16 September 2016, Enschede, Netherlands
EditorsN. Kerle, M. Gerke, S. Lefevre
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Number of pages7
ISBN (Print)978-90-365-4201-2
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016: Solutions & Synergies - University of Twente Faculty of Geo-Information and Earth Observation (ITC), Enschede, Netherlands
Duration: 14 Sept 201616 Sept 2016
Conference number: 6
https://www.geobia2016.com/

Conference

Conference6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Abbreviated titleGEOBIA
Country/TerritoryNetherlands
CityEnschede
Period14/09/1616/09/16
Internet address

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