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Proceedings Paper

A knowledge-based segmentation technology for remote sensing optical images
Author(s): Xiao Yuan; Hongwen Yang
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Paper Abstract

In this paper, we propose a whole scheme of remote sensing image segmentation process, from fast detection to accurate edge location. As we know, more structure information is acquired in high resolution remote sensing images. However, traditional image processing algorithms will produce meaningless results without priori knowledge. We aim at solving the problem in which regions may be distinguishable in intensity but belong to the same target by the ground truth. This is done by multi-threshold segmentation. What's more, In order to get a more regular shape, we use random field model to introduce spatial constraint at a small scale, and active contour model to smooth the whole edge at a larger scale. Simulation results demonstrate the effectiveness of our method in extracting ships from the satellite images. This paper also introduces the potential of integrating the image segmentation and subsequent image analysis tasks.

Paper Details

Date Published: 10 November 2007
PDF: 5 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 679547 (10 November 2007); doi: 10.1117/12.774558
Show Author Affiliations
Xiao Yuan, National Univ. of Defense Technology (China)
Hongwen Yang, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Jiaolong Wei, Editor(s)

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