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Proceedings Paper

Multiresolution segmentation adapted for object-based change detection
Author(s): Clemens Listner; Irmgard Niemeyer
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Paper Abstract

In object-based change detection approaches using specified object features as change measures, segmentation is the crucial step, especially when also shape changes are considered. In this paper we present an enhanced segmentation procedure based on the multiresolution segmentation. The procedure segments the first image using the multiresolution segmentation. The segmentation is then applied to the second image and checked for its consistency. If a segment is found to be inconsistent with the second image, it is split up. The performance of the proposed procedure is demonstrated based on simulated and real image data.

Paper Details

Date Published: 22 October 2010
PDF: 11 pages
Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 78300U (22 October 2010); doi: 10.1117/12.865133
Show Author Affiliations
Clemens Listner, Forschungszentrum Jülich GmbH (Germany)
Technische Univ. Bergakademie Freiberg (Germany)
Irmgard Niemeyer, Forschungszentrum Jülich GmbH (Germany)


Published in SPIE Proceedings Vol. 7830:
Image and Signal Processing for Remote Sensing XVI
Lorenzo Bruzzone, Editor(s)

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