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In this paper, we proposed a fully polarimetric SAR classification method based on the log-cumulants of texture parameter of the fully polarimetric SAR data. Unlike other classification algorithms that classify pixels by their scattering characteristics, this method will use a combination of the texture parameter of fully polarimetric SAR data and the Support Vector Machines (SVM) Classifier based...
The coherence optimization methods of compact polarimetric SAR interferometry (PolInSAR) are analyzed in this paper. Coherence optimization for compact PolInSAR can be performed directly in the two-dimensional observation space of the CP system without the reconstruction of the pseudo fully PolInSAR covariance matrix. The performance of different compact polarimetric modes for coherence optimization...
This paper focuses on direction-of-arrival (DOA) estimation of wideband signals, and a method named wideband covariance matrix sparse representation (W-CMSR) is proposed. In W-CMSR, the lower left triangular elements of the covariance matrix are aligned to form a new measurement vector, and DOA estimation is then realized by representing this vector on an over-complete dictionary under the constraint...
Based on the clutter statistical characteristics of fully polarimetric SAR image, this paper presents a novel method for SAR change detection based on the heterogeneous clutter model. We use spherically invariant random vectors (SIRV) distribution model to fit the urban areas of full polarimetric images. Then, the degree of evolution between the statistical characteristics of multi temporal full SAR...
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