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Object-based urban change detection analyzing high resolution optical satellite images

: Boldt, Markus; Thiele, Antje; Schulz, Karsten


Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Earth Resources and Environmental Remote Sensing/GIS Applications III : 24. September 2012 , Edinburgh, United Kingdom
Bellingham, WA: SPIE, 2012 (Proceedings of SPIE 8538)
ISBN: 978-0-8194-9278-4
Paper 85380E
Conference "Earth Resources and Environmental Remote Sensing/GIS Applications" <3, 2012, Edinburgh>
Conference Paper
Fraunhofer IOSB ()
urban change detection; object-based; multispectral; high resolution; QuickBird; LiDAR

Change detection in urban areas by investigating image data of remote sensing satellites is an important topic. Of special interest is, for example, the detection of changes in terms of monitoring and disaster management, where accurate information about dimension and category of changes are frequently requested. Hence, in this paper, a workflow for object-oriented multispectral classification is presented to differentiate between traffic infrastructure, water, vegetation and non-vegetation areas. Changes are detected by analyzing multi-temporal classification results. For this, multitemporal QuickBird images covering the city Karlsruhe and LiDAR data are investigated to detect urban change areas.