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Change categorization in short-term SAR time series

 
: Boldt, Markus; Cadario, Erich

Verband Deutscher Elektrotechniker e.V. -VDE-, Berlin; Informationstechnische Gesellschaft -ITG-:
EUSAR 2021, 13th European Conference on Synthetic Aperture Radar : 29 March - 1 April 2021, Online Event; CD-ROM
Berlin: VDE-Verlag, 2021
ISBN: 978-3-8007-5457-1
ISBN: 3-8007-5457-6
pp.887-891
European Conference on Synthetic Aperture Radar (EUSAR) <13, 2021, Online>
English
Conference Paper
Fraunhofer IOSB ()
acquisition time; atmospheric effects; image stacks; monitoring change; optical imagery; space-borne SAR; sub-aperture; time-series data

Abstract
Monitoring changes in time series data offers the opportunity to identify very frequently changing regions. As input data, SAR imagery has significant benefits against optical imagery, due to its independence against atmospheric effects and the acquisition time. The conventional way of time series analysis is given by the investigation of long-term image stacks, often covering a time span of weeks, months or even years. In the paper at hand, the categorization of changes detected in short-term image stacks is addressed. For this, several sub-aperture images are used, which are extracted from spaceborne SAR data, acquired with a long synthetic antenna.

: http://publica.fraunhofer.de/documents/N-636120.html