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Proceedings Paper

A texture-based approach for extracting residential areas from high-resolution imagery
Author(s): Juan Gu; Jun Chen; Hongwei Zhang; Qiming Zhou
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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: 9 pages
Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64191H (28 October 2006); doi: 10.1117/12.713248
Show Author Affiliations
Juan Gu, Beijing Normal Univ. (China)
National Geomatics Ctr. of China (China)
Jun Chen, National Geomatics Ctr. of China (China)
Hongwei Zhang, National Geomatics Ctr. of China (China)
Qiming Zhou, Hong Kong Baptist Univ. (Hong Kong China)

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

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