Trihedral reflector9/16/2023 ![]() 41(2), 433–454 (2020)Īlberga, V., Krogager, E., Chandra, M., Wanielik, G.: Potential of coherent decompositions in SAR polarimetry and interferometry. 39(22), 7861–7880 (2018)Įini-Zinab, S., Maghsoudi, Y., Sayedain, S.A.: Assessing the performance of indicators resulting from three-component Freeman-Durden polarimetric SAR interferometry decomposition at P-and L-band in estimating tropical forest aboveground biomass. Ren, B., Hou, B., Wen, Z., Xie, W., Jiao, L.: PolSAR image classification via multimodal sparse representation-based feature fusion. 26(18), 1525–1527 (1990)Ĭhunhua, L., Wang, J., Shang, J., Huang, X., Liu, J., Huffman, T.: Sensitivity study of Radarsat-2 polarimetric SAR to crop height and fractional vegetation cover of corn and wheat. Krogager, E.: New decomposition of the radar target scattering matrix. Lee, J.S., Pottier, E.: Polarimetric Radar Imaging: From Basics to Applications. Van Zyl, J.J.: Unsupervised classification of scattering behavior using radar polarimetry data. 43(8), 1699–1706 (2005)Ĭloude, S.R., Pottier, E.: A review of target decomposition theorems in radar polarimetry. Yamaguchi, Y., Moriyama, T., Ishido, M., Yamada, H.: Four-component scattering model for polarimetric SAR image decomposition. 3(3), 369–372 (2006)įreeman, A., Durden, S.L.: A three-component scattering model for polarimetric SAR data. Yang, J., Peng, Y.N., Yamaguchi, Y., Yamada, H.: On Huynen’s decomposition of a Kennaugh matrix. ![]() In: Proceedings of 1988 USA National Radar Conference 249–254 (1988) Holm, W.A., Barnes, R.M.: On Radar Polarization Mixed State Decomposition Theorems. Drukkerij Bronder-offset, Rotterdam (1970) Huynen, J.R.: Phenomenological Theory of Radar Targets. Oldenburg Verlag, Wien (2000)Įvans, D.L., Farr, T.G., van Zyl, J.J., Zebker, H.A.: Radar polarimetry: analysis tools and applications. Klausing, H., Holpp, W.: Radar mit realer und synthetischer Apertur: Konzeption und Realisierung. These findings indicated that the obtained decomposition and clustering results could provide a better performance in visual impact and quantitative evaluation according to the decomposition term, as well as its physical interpretation.Ĭurlander, J.C., McDonough, R.N.: Synthetic Aperture Radar: Systems and Signal Processing. The image pixel classification was strongly associated with the polarimetric reference function in processing step. The colour clustering results based on k-mean clustering algorithm could deliver more related scattering characteristic. The Pauli and the Krogager decompositions processed the compressed SAR data to investigate the effect and performance of the polarimetric reference function. The proposed methodology employed the simulated radar cross section of dihedral and trihedral corner reflector under a SAR geometry using physical optics (PO) and geometrical optics (GO) to produce the polarimetric reference function for azimuth compression in the processing of SAR data. This paper investigated the potential performance of the polarimetric reference function in SAR data processing to apply in coherent decomposition. ![]() Significant employment of polarimetric synthetic aperture radar (SAR) is the classification of the Earth’s surface, which includes several processing algorithms, labelling, and representation options. ![]()
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