Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 851-857, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-851-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
22 Jun 2016
POLARIMETRIC SIGNATURES IDENTIFICATION FOR DIFFERENT FEATURES IN RADARSAT-2 POLSAR IMAGE: A CASE STUDY OF HALAYIB AREA, EGYPT
Ayman H. Nasr and Hind Z. Abdelhamid National Authority for Remote Sensing and Space Sciences (NARSS), 23 Joseph Tito st., El-Nozha El-Gedida, P.O. Box: 1564 Alf-Mascan, Cairo, Egypt
Keywords: Radarsat-2 PolSAR, Polarimetric signatures, Pauli decomposition, Co-polarization and cross-polarization signature Abstract. In fully polarized SAR (PolSAR) data the returned signal from a target contains all polarizations. More information about this target may be inferred with respect to single-polarization. Distinct polarization separates targets due to its different backscattering responses. A Radarsat-2 PolSAR image acquired on December 2013 of part of Halayib area (Egypt) was used in this study. Polarimetric signatures for various features (Wadi deposits, Tonalite, Chlorite schist, and Radar penetrated areas) were derived and identified. Their Co-polarized and Cross-polarized signatures were generated, based on the calculation of the backscattered power at various ellipticity and orientation angles. Graphical 3D-representation of these features was provided and more details of their physical information are depicted according to their different polarization bases. The results illustrate that polarimetric signatures, obtained due to factors like surface roughness, dielectric constant and feature orientation, can be an effective representation for analyzing various features. The shape of the signature is significant and can also indicate the scattering mechanisms dominating the features response.
Conference paper (PDF, 1827 KB)


Citation: Nasr, A. H. and Abdelhamid, H. Z.: POLARIMETRIC SIGNATURES IDENTIFICATION FOR DIFFERENT FEATURES IN RADARSAT-2 POLSAR IMAGE: A CASE STUDY OF HALAYIB AREA, EGYPT, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 851-857, https://doi.org/10.5194/isprs-archives-XLI-B7-851-2016, 2016.

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