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Summary of Proposal MTH1692

TitleChange Detection and Categorization in Time Series of HR SAR Satellite images
Investigator Boldt, Markus - Fraunhofer IOSB, Scene Analysis
Team Member
Dr.-Ing. Schulz, Karsten - Fraunhofer IOSB, Scene Analysis
Prof. Dr.-Ing. Hinz, Stefan - Karlsruhe Institute of Technology KIT, Institute of Photogrammetry and Remote Sensing IPF
Dipl.-Ing. Thiele, Antje - Karlsruhe Institute of Technology KIT, Institute of Photogrammetry and Remote Sensing IPF
SummaryIn the last few years, change detection based on remote sensing data has become a field of intensive research with multiple applications for practical use. To detect changes between temporarily different satellite images is of interest for example in terms of urban monitoring and disaster management. The planned approach allows the fully automatic detection of small-scale changes (e.g. vehicles or construction sites) in time series of SAR amplitude image data. The detection of changes of other scales will be investigated. Furthermore, the categorization of the detected changes will be an important part of the study. For this classification step, the time series analysis will play a significant role. Amongst others, seasonal effects can be used to support the categorization process. Also the method for hierarchical image interpretation given by the morphological attribute profiles (AP, DAP) can be used to cluster similar change categories.

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DLR 2004-2016