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Proceedings Paper

An efficient hierarchical segmentation approach for remote sensing images
Author(s): Dingke Kong; Guozhao Wang
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Paper Abstract

Segmentation is one of the key problems in remote sensing image processing, and a cluster hierarchy is a powerful tool to analyze data on multiple scales. In this paper, we present an optimal hierarchical remote sensing image segmentation approach which is a combination of feature-based classification, multi-scale region merging and classification-based object refinement, and it is shown to have the following properties: 1) it gets better results on general remote sensing images; 2) it offers a flexible segmentation hierarchy at a less computational cost.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950N (30 October 2009); doi: 10.1117/12.831252
Show Author Affiliations
Dingke Kong, Zhejiang Univ. (China)
Guozhao Wang, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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