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Proceedings Paper

Image segmentation: its application to information extraction for updating geo-spatial databases
Author(s): Juan Gu; Jun Chen; Qiming Zhou
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Paper Abstract

The unsatisfactory result of traditional pixel-based classification methods in classifying high resolution remotely sensed imagery may be improved by employing image segmentation. Based on a brief review of image segmentation, this paper introduces an image segmentation method--FNEA--which is used in eCognition, the first commercial object-oriented image processing software in the world, for automatic object extraction from high-resolution satellite images and automatic updating of GIS databases. From the point of information extraction, the author analyzes the advantages and disadvantages of the algorithm by using several examples and put forward possible improvements.

Paper Details

Date Published: 3 November 2005
PDF: 10 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441B (3 November 2005); doi: 10.1117/12.655211
Show Author Affiliations
Juan Gu, Beijing Normal Univ. (China)
National Geomatics Ctr. of China (China)
Jun Chen, National Geomatics Ctr. of China (China)
Qiming Zhou, Hong Kong Baptist Univ. (Hong Kong China)


Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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