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Proceedings Paper

Technique for semi-automatic extraction of a residential area in a high-resolution remote sensing image
Author(s): Junying Su; Jianqing Zhang; Qingwu Hu
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Paper Abstract

In this paper a residential area texture description based on the 3 x 3 region grey deviations is designed and the Gauss blur is applied to make the residential area in the texture character image possess accordant grey value and limited contrast relative to the background area so as to obtain self-adaptive threshold for image segmentation. And a skeleton processing is proposed to eliminate the road from the residential area. The experiment results of the semi-automatic extraction of the residential area in the remote sensing image with 3 meters ground resolution show this technique is very simple and effective to the semi-automatic extraction of the residential area and can meet the precision requirement of the mapping and surveying with satellite images.

Paper Details

Date Published: 25 September 2003
PDF: 7 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538687
Show Author Affiliations
Junying Su, Wuhan Univ. (China)
Jianqing Zhang, Wuhan Univ. (China)
Qingwu Hu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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