A multi-level segmentation methodology for dual-polarized SAR data |
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| Authors: | M Dabboor V Karathanassi A Braun |
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| Institution: | 1. Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Calgary, Alberta, T2N 1N4 Canada;2. Laboratory of Remote Sensing, School of Rural and Surveying Engineering, National Technical University of Athens, Heroon Polytechniou 9, Zographos 15780, Greece;3. Department of Geosciences, School of Natural Sciences and Mathematics, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA |
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| Abstract: | 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. |
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| Keywords: | Polarimetric SAR Dual-polarized SAR Histogram Multi-level segmentation TerraSAR-X |
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