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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 847-850, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-847-2016 © Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License. 
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22 Jun 2016
University of Sciences and Technology Houari Boumediene (USTHB), Faculty of Electronics and Computer Science, Image Processing and radiation Laboratory, BP 32, El-Alia, Bab-Ezzouar 16111, Algiers, Algeria
Keywords: Model based decomposition, orientation angle, Polarimetric SAR Interferometry, polarimetric interferometric similarity parameter, Volume model Abstract. In this paper, we present a new approach to solve the problem of volume scattering ambiguity in urban area, for that we propose a volume model based on the polarimetric interferometric similarity parameter (PISP) . The new model is more adaptive and fits better with both forest and oriented built-up areas. Thereby, a new model-based polarimetric decomposition scheme is developed. To test the performance of the proposed method ESAR PolInSAR L bande data of Oberpfaffenhofen, Germany is used. Comparison experiments show that the proposed method gives good results, since all the oriented built-up areas are well discriminated as double or odd bounce structures.
Conference paper (PDF, 1609 KB)
Citation: Latrache, H., Ouarzeddine, M., and Souissi, B.: IMPROVED MODEL-BASED POLARIMETRIC DECOMPOSITION USING THE POlINSAR SIMILARITY PARAMETER, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 847-850, https://doi.org/10.5194/isprs-archives-XLI-B7-847-2016, 2016.
BibTeX EndNote Reference Manager XML
Keywords: Model based decomposition, orientation angle, Polarimetric SAR Interferometry, polarimetric interferometric similarity parameter, Volume model Abstract. In this paper, we present a new approach to solve the problem of volume scattering ambiguity in urban area, for that we propose a volume model based on the polarimetric interferometric similarity parameter (PISP) . The new model is more adaptive and fits better with both forest and oriented built-up areas. Thereby, a new model-based polarimetric decomposition scheme is developed. To test the performance of the proposed method ESAR PolInSAR L bande data of Oberpfaffenhofen, Germany is used. Comparison experiments show that the proposed method gives good results, since all the oriented built-up areas are well discriminated as double or odd bounce structures.
Conference paper (PDF, 1609 KB)
Citation: Latrache, H., Ouarzeddine, M., and Souissi, B.: IMPROVED MODEL-BASED POLARIMETRIC DECOMPOSITION USING THE POlINSAR SIMILARITY PARAMETER, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 847-850, https://doi.org/10.5194/isprs-archives-XLI-B7-847-2016, 2016.
BibTeX EndNote Reference Manager XML