Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4465299 | International Journal of Applied Earth Observation and Geoinformation | 2011 | 10 Pages |
An innovative methodology for dual-polarized Synthetic Aperture Radar (SAR) data segmentation is proposed. The methodology is based on the thresholding of the 1D-histograms of the two images produced by the dual polarimetric bands. Thresholding of the histograms is performed using a nonparametric algorithm. Histograms after thresholding are combined together in a two dimensional histogram-based space in order to define sub-spaces, which are used for image segmentation. Sub-spaces are further divided based on two criteria which lead to a multi-level segmentation approach. Dual-polarized TerraSAR-X data, both HH and VV, are used in a study area located in the southwestern United Kingdom.
Research highlights► New nonparametric image segmentation for dual polarized SAR data. ► The proposed methodology acts globally while the split-merge algorithm acts locally. ► Topological relationships in the proposed methodology are produced in the two dimensional histogram-based space. In the split-merge algorithm topological relationships are produced in the two dimensional space of the image.