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Proceedings Paper

Multiscale image segmentation and its application in image information extraction
Author(s): Kaimin Sun; Yan Chen; Deren Li
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Paper Abstract

The diversity of the spatial scale of landscape raises the requirement of multiscale analysis of remote sensing (RS) images. Usually the first step to analyze remote sensing images is image segmentation, in which the muitiscale effect should be taken into account to achieve satisfactory segmentation results. This paper describes an effective approach to segment remote sensing images in multiscale. Based on the fact that in a specific scale of a remote sensing image the same objects are similar, the image is first segmented in a small scale by uniting the most similar objects. After that, a set of multiscale objects with full topological relationship can be obtained. Based on the set of multiscale objects, the authors explore the application of this approach in object-oriented information extraction from remote sensing images.

Paper Details

Date Published: 28 October 2006
PDF: 8 pages
Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64191I (28 October 2006); doi: 10.1117/12.713250
Show Author Affiliations
Kaimin Sun, Wuhan Univ. (China)
Yan Chen, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6419:
Geoinformatics 2006: Remotely Sensed Data and Information
Liangpei Zhang; Xiaoling Chen, Editor(s)

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