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Change detection in urban areas by direct comparison of multi-view and multi-temporal ALS data

: Hebel, Marcus; Arens, Michael; Stilla, Uwe

Preprint urn:nbn:de:0011-n-1864912 (2.5 MByte PDF)
MD5 Fingerprint: 0f7257dce53caf742dd6bbff1718b2ae
The original publication is available at
Erstellt am: 4.7.2012

Stilla, U. ; International Society for Photogrammetry and Remote Sensing -ISPRS-:
Photogrammetric image analysis. ISPRS conference, PIA 2011 : Munich, Germany, October 5-7, 2011; proceedings
Berlin: Springer, 2011 (Lecture Notes in Computer Science 6952)
ISBN: 3-642-24392-4
ISBN: 978-3-642-24392-9
ISBN: 978-3-642-24393-6
ISSN: 0302-9743
Conference on Photogrammetric Image Analysis (PIA) <2011, Munich>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
airborne laser scanning; LiDAR; change detection; multi-temporal data analysis; urban area

Change detection in urban areas requires the comparison of multi-temporal remote sensing data. ALS (airborne laser scanning) is one of the established techniques to deliver these data. A novelty of our approach is the consideration of multiple views that are acquired with an oblique forward-looking laser scanner. In addition to advantages in terms of data coverage, this conguration is ideally suited to support helicopter pilots during their mission, e.g., with an obstacle warning system, terrain-referenced navigation, or online change detection. In this paper, we present a framework for direct comparison of current ALS data to given reference data of an urban area. Our approach extends the concept of occupancy grids known from robot mapping, and the proposed change detection method is based on the Dempster-Shafer theory. Results are shown for an urban test site at which multi-view ALS data were acquired at an interval of one year.