The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008
4. CONCLUSION AND DISCUSSION
This study proposed a new multi-scale segmentation method
based on SRM and MHR where QuickBird imageries are used.
Compared with multi-scale SRM and FNEA method, the results
indicates that the proposed method overcomes the
disadvantages of them, integrates the advantages of them and is
an efficient multi-scale segmentation for HR imagery. The
SRM method used for initial segmentation achieves robust and
accurate segmentation results through using not only the
spectral, shape, scale information, but also has the ability to
cope with significant noise corruption, handle occlusions. The
MHR used for merging objects relies on both the effectiveness
local quality and global quality and its consideration of shape
and spectral features.
Nevertheless, there are many other issues that require future
investigation, including the improvement of sort function and
merge predicate of SRM, the study of evaluation index for
estimating segmentation results, the determination of
parameters for various classes, and the applications of the
proposed method in different styles of RS imagery such as SAR,
and so on.
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