
Proceedings Paper
Fusing stereo and multispectral data from WorldView-2 for urban modelingFormat | Member Price | Non-Member Price |
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Paper Abstract
Using the capability of WorldView-2 to acquire very high resolution (VHR) stereo imagery together with as much
as eight spectral channels allows the worldwide monitoring of any built up areas, like cities in evolving states.
In this paper we show the benefit of generating a high resolution digital surface model (DSM) from multi-view
stereo data (PAN) and fusing it with pan sharpened multi-spectral data to arrive at very detailed information
in city areas. The fused data allow accurate object detection and extraction and by this also automated object
oriented classification and future change detection applications. The methods proposed in this paper exploit the
full range of capacities provided by WorldView-2, which are the high agility to acquire a minimum of two but
also more in-orbit-images with small stereo angles, the very high ground sampling distance (GSD) of about 0.5 m
and also the full usage of the standard four multispectral channels blue, green, red and near infrared together
with the additional provided channels special to WorldView-2: coastal blue, yellow, red-edge and a second near
infrared channel. From the very high resolution stereo panchromatic imagery a so called height map is derived
using the semi global matching (SGM) method developed at DLR. This height map fits exactly on one of the
original pan sharpened images. This in turn is used for an advanced rule based fuzzy spectral classification. Using
these classification results the height map is corrected and finally a terrain model and an improved normalized
digital elevation model (nDEM) generated. Fusing the nDEM with the classified multispectral imagery allows
the extraction of urban objects like like buildings or trees. If such datasets from different times are generated
the possibility of an expert object based change detection (in quasi 3D space) and automatic surveillance will
become possible.
Paper Details
Date Published: 24 May 2012
PDF: 15 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83901X (24 May 2012); doi: 10.1117/12.917801
Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)
PDF: 15 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83901X (24 May 2012); doi: 10.1117/12.917801
Show Author Affiliations
Thomas Krauss, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Beril Sirmacek, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Beril Sirmacek, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Hossein Arefi, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Peter Reinartz, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Peter Reinartz, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)
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