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Earthen levees protect large areas of populated and cultivated land from flooding. The potential loss of life and property associated with the catastrophic failure of levees can be great. One type of problem that occurs along these levees which can lead to complete failure during a high water event is slough slides [1]. Using Entropy (H), Anisotropy (A), and alpha (α) parameters, we implemented Wishart...
Nowadays, compact polarimetry (CP), because of its great advantages, is considered as a suitable alternative to full polarimetry (FP). One of the important issues in the field of CP is directed toward extracting FP information from CP data as much as possible. In this paper, we propose a novel approach for reconstructing quad H and α parameters from dual circular polarization (DCP) compact data without...
The dynamics of surface and subsurface water events can lead to slope instability resulting in slough slides on earthen levees. Early detection of these anomalies by a remote sensing approach could save time versus direct assessment. We used L-band synthetic aperture radar (SAR) to screen levees for anomalies. Using Entropy (H), Anisotropy (A), and alpha (α) parameters, we implemented several unsupervised...
A Brain Computer Interfaces (BCI) system enables users to control devices by acquiring and processing brain activity. An important component of a BCI system is feature extraction, which is responsible for representing brain signals in terms of essential components called features. This paper presents a comparison of the following feature extraction techniques for BCI; Common Spatial Patterns (CSP),...
In this paper, a set of polarimetric eigenvalue and eigenvector based parameters, e.g. entropy and anisotropy, are investigated for forest application. The correlation terms of the eigenvectors, μ1 and μ2, are found to be better for forest mapping in both summer and winter using Radarsat-2 quad-polarimetric space borne SAR data. These are used to automatically identify forest class pixels from the...
An efficient method for power quality disturbances (PQD) classification is put forward which combines with cubic B-spline wavelet and C4.5 algorithm in decision tree. At first the mathematic models are established. Then multi-scale decomposition for PQD is carried out using cubic B-spline wavelet. A three dimensional eigenvector is built by selecting the mean, standard deviation and energy entropy...
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