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In this study, we consider tree vertical profile with a higher order truncation of Fourier-Legendre series using polarization coherence tomography. An improved method based on Freeman-Durben decomposition is employed to estimate tree height and surface phase. A contrast to single-baseline scenario is performed. The primary scattering mechanisms and polarization dependence are interpreted by vertical...
In order to improve the generalization performance of support vector machine (SVM), a support vector machine ensembling method based on independent component analysis (ICA) and fuzzy kernel clustering (FKC) was proposed. The ICA emphasizes the independence between the data characteristics and can effectively obtain a series of independent features, the performance of single SVM can be improved when...
In order to improve the generalization performance of support vector machine (SVM), a kind of ensemble SVM using an entropy-based attribute selection method was proposed. An entropy metric based on similarity between objects was designed to evaluate the importance degree of each attribute and so as to obtain a set of important attributes. Based on the set of important attributes, the Bagging method...
The multi-sensor multi-target localization and data fusion problem is discussed, and a novel data fusion method called grid-based probability density matrix (GBPDM) is proposed. Dividing the common observe space into numerous of small grids, the measurements containing uncertainties can be represented by their sampled probability density functions. By adding probability density of all measurements...
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