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An approach to sea ice classification using dual polarization RADARSAT-2 ScanSAR data is presented in this paper. It is based on support vector machine (SVM). In addition to backscatter coefficients and gray-level cooccurrence matrix (GLCM) texture features, sea ice concentration was introduced as a classification basis. To better analyze the backscatter information of sea ice types, we considered...
The parameters plays an important role to the performance of support vector regression(SVR). In order to solve the problem of the Parameter optimization for SVR, first, we transform the problem of Parameter optimization into a problem of nonlinear system state estimation, then, we propose a novel algorithm based on Dual Recursive Variational Bayesian Adaptive Square-Cubature Kalman Filter (DRVB-ASCKF),...
To deal with post-release bugs, many software projects set up public bug repositories for users all over the world to report bugs that they have encountered. Recently, researchers have proposed various information retrieval based approaches to localizing faults based on bug reports. In these approaches, source files are processed as single units, where noise in large files may affect the accuracy...
In this paper, we propose a chaotic-based random stepped frequency radar (CRSFR) applicable to wideband imaging. CRSFR provides faster matched processing via sequence rearrangement of AD sampling as compared with conventional random stepped frequency radar (RSFR). Our analysis shows that the presented radar system not only achieves a rapid matched filtering for range profiles without random noise...
A novel method for denoising MR images is proposed that is based on the principle of k-space data substitution. The method consists of classifying the k-space data of the image to be denoised into two subsets: the preserved set containing original higher SNR samples that are kept unchanged during denoising process, and the substitution set where the original samples having lower SNR are substituted...
The exponential growth of Web images has created a compelling need for innovative methods to retrieve and manage them. Automatic image annotation is an effective way for resolving this problem. In this paper, we propose a novel system that automatically annotates images by semantic corpus which is constructed by mining Web image data. It includes three parts: 1) constructing the semantic annotation...
In the field of magnetic resonance imaging (MRI), reconstruction from partial k-space data is a common strategy. Projection onto convex set (POCS) method has been applied to dealing with one-dimensional (ID) partial k-space. This paper applied POCS method to MR imaging from two-dimensional (2D) partial k-space data. This method is evaluated with experiments using simulate data. Compared with the zero...
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