PE&RS March 2016 full version - page 221

we will use the split and merge techniques based on high
level features such as context and semantic features.
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Akçay, H.G., and S. Aksoy, 2008. Automatic detection of geospatial
objects using multiple hierarchical segmentations,
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Baatz, M., and A. Schape, 2000. Multi-resolution segmentation:
an optimization approach for high quality Multiscale
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(a)
(b)
(c)
Figure 10. Results of K-means clustering algorithm on DS7 with mask 3: (a) panchromatic image, (b) clustering with the proposed FS
method, and (c) clustering with Relief method.
(a)
(b)
(c)
(d)
Figure 11. Results of K-means clustering algorithm on DS4 with mask 3: (a) panchromatic image, (b) clustering with the proposed FS
method, (c) clustering with MRMR method, and (d) clustering with CMIM method.
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