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Proceedings Paper

A method of building information extraction based on mathematical morphology and multiscale
Author(s): Jing-wen Li; Ke Wang; Zi-ping Zhang; Long-li Xue; Shou-qiang Yin; Song Zhou
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Paper Abstract

In view of monitoring the changes of buildings on Earth's surface ,by analyzing the distribution characteristics of building in remote sensing image, combined with multi-scale in image segmentation and the advantages of mathematical morphology, this paper proposes a multi-scale combined with mathematical morphology of high resolution remote sensing image segmentation method, and uses the multiple fuzzy classification method and the shadow of auxiliary method to extract information building, With the comparison of k-means classification, and the traditional maximum likelihood classification method, the results of experiment object based on multi-scale combined with mathematical morphology of image segmentation and extraction method, can accurately extract the structure of the information is more clear classification data, provide the basis for the intelligent monitoring of earth data and theoretical support.

Paper Details

Date Published: 9 December 2015
PDF: 10 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98082S (9 December 2015); doi: 10.1117/12.2207657
Show Author Affiliations
Jing-wen Li, Guilin Univ. of Technology (China)
Ke Wang, Guilin Univ. of Technology (China)
Zi-ping Zhang, Qinghai Ecosystem Remote Sensing Monitoring Ctr. (China)
Long-li Xue, Guilin Univ. of Technology (China)
Shou-qiang Yin, Guilin Univ. of Technology (China)
Song Zhou, Guilin Univ. of Technology (China)

Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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