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30 October 2009 An efficient hierarchical segmentation approach for remote sensing images
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74950N (2009) https://doi.org/10.1117/12.831252
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
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Dingke Kong and Guozhao Wang "An efficient hierarchical segmentation approach for remote sensing images", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950N (30 October 2009); https://doi.org/10.1117/12.831252
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