In this paper three image quality metrics are compared: mean-square error (MSB), noise quality measure (NQM), and structural information metric (SIM). Such a comparison is made in order to evaluate the performance of ...
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Principal components analysis (PCA) has been widely used in many applications, particularly, data compression. Independent component analysis (ICA) has been also developed for blind source separation along with many o...
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Principal components analysis (PCA) has been widely used in many applications, particularly, data compression. Independent component analysis (ICA) has been also developed for blind source separation along with many other applications such as channel equalization, speech processing. Recently, it has been shown that the ICA can be also used for hyperspectral data compression. This paper investigates these two transforms in hyperspectral data compression and further evaluates their strengths and weaknesses in applications of target detection, mixed pixel classification and abundance quantification. In order to take advantage of the strengths of both transform, a new transform, called mixed PCA/ICA transform is developed in this paper. The idea of the proposed mixed PCA/ICA transform is derived from the fact that it can integrate different levels of information captured by the PCA and ICA. In doing so, it combines m principal components (PCs) resulting from the PCA and n independent components (ICs) generated by the ICA to form a new set of (m+n) mixed components used for hyperspectral data compression. The resulting transform is referred to as mixed (m,n)-PCA/ICA transform. In order to determine the total number of components, p needed to be generated for the mixed (m,m)-PCA/ICA transform, a recently developed virtual dimensionality (VD) is introduced to estimate the p where p = m + n. If m = p and n = 0, then mixed (m,n)-PCA/ICA transform is reduced to PCA transform. On the other hand, if m = 0 and n = p, then mixed (m,n)-PCA/ICA transform is reduced to ICA. Since various combinations of m and n have different impacts on the performance of the mixed PCA/ICA spectral/spatial compression in applications, experiments based on subpixel detection and mixed pixel quantification are conducted for performance evaluation.
Phase noise may be regarded as the most severe cause of performance degradation in OFDM systems. Hot-carriers (HCs), found in the CMOS synchronization circuits, are highmobility charge carriers that degrade the MOSFET...
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In this paper, we present our Grid-based decision tree architecture, with the intention of applying it to both parallel and sequential algorithms. Also, we show that, based on the scope and model of data mining applie...
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In this paper, a parallel loop self-scheduling scheme for heterogeneous PC cluster systems is proposed. Though the proposed scheme does allow users to choose parameters before the execution initialization phase, there...
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Internet computing and grid technologies promise to change the way we tackle complex problems. They will enable large-scale aggregation and sharing of computational, data and other resources across institutional bound...
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We propose in this paper a new video shot boundary classification (SBC) method. First we present a method to extract features, which exploits the spatial-temporal information of video frames in a sliding window center...
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A number of video browsing and retrieval systems use a hierarchical video structure (video, scene, group, shot, and key frame) as the basis for information organization and access. However, this structure cannot repre...
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A new video coding standard H.264/AVC has been recently standardized. It achieves its high coding efficiency by employing a number of advances in video coding technology. In this paper we propose an efficient rate con...
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This paper describes a method to approximate the impulse response or a linear shift-variant system by the impulse responses of a set of linear shift-invariant systems which process in parallel on various windowed vers...
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