Shenglong Guo

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In this paper, an unsupervised classification for compact polarimetry SAR (C-PolSAR) image is proposed by combining the H/α decomposition with the Wishart classifier. Firstly, H/α decomposition method is applied to the compact polarimetry (CP) data. By analyzing the different (H, a) values corresponding to the three compact polarimetry mode:(More)
In this study, we investigated the unsupervised terrain classification for hybrid polarimetric (HP) SAR by using the circular polarization ratio (CPR) parameter alone. According to the theoretical deduction based on scattering matrices of ideal polarimetric scattering mechanisms (PSMs), CPR is suggested to be processed with the logarithmic function in order(More)
PolSAR features have great significance in application of vegetation classification, which can explain the scattering mechanism of the vegetation; the decision tree classifier not only can obtain good classification accuracy, but also can adjust the classification results, as well as make full use of PolSAR features to explain the scattering mechanism of(More)
In this letter, the influence of a polarization distortion at transmission and the Faraday rotation on compact polarimetric synthetic aperture radar (C-PolSAR) measurements is assessed. Polarization distortions at transmission for a C-PolSAR system can be introduced by nonideal transmission polarization waveforms, channel imbalance, and crosstalk. In(More)
In this paper we apply PolInSAR decomposition techniques to compact-pol SAR Interferometry. The complex cross-correlation matrix of single-baseline polarimetric SAR Interferometry is decomposed into three 2 × 2 scattering matrices corresponding to surface scattering, double scattering and random volume scattering. A numerical method is applied to(More)
In this paper, the slant range error introduced by the “stop-and-go” assumption is analyzed in detail. Owing to the high orbit and long synthetic aperture time of geosynchronous SAR (Geo-SAR), the slant range error introduced by the “stop-and-go” assumption should be considered. In addition, an accurate signal propagation delay time equation of Geo-SAR(More)
In this paper, model-based (surface, dihedral and volume scattering) target decomposition technique is proposed to decompose the π/4 mode compact polarimetric radar data. A general relationship between fully polarimetric coherence matrix and the Stokes vector of the π/4 mode compact polarimetric data is first established. Based on the Stokes vector, a(More)
In this letter, an accurate topographical phase is applied to the model-based (odd-bounce, double-bounce, and volume scattering) decomposition of synthetic aperture radar (SAR) interferometry data. The decomposition procedure considered here is a determined nonlinear equation system that can be solved numerically. The accurate topographical phase is first(More)
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