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A novel target recognition method is proposed for high-range resolution profiles (HRRPs) of radar targets under low signal-to-noise ratio (SNR) conditions. This method achieves good recognition performance for noisy HRRPs with discriminative sparse-low-rank representation. The framework of this method is constructed based on sparse representation and low-rank representation, which are applied to extract...
Existing methods for layer-based backward compatible high dynamic range (HDR) image and video coding mostly focus on the rate-distortion optimization of base layer while neglecting the encoding of the residue signal in the enhancement layer. Although some recent studies handle residue coding by designing function based fixed global mapping curves for 8-bit conversion and exploiting standard codecs...
Backward compatibility to the existing 8-bit displays for HDR image and video compression is an essential requirement for the wide acceptance of HDR technology by the users. While these previous methods mainly focus on the rate-distortion optimization of base layer, the encoding of the residue in the enhancement layer comparatively has received less attention. In this paper, we investigate whether...
Extracting the oil spills in SAR images has been challenged by the spatial heterogeneity caused by the speckles. In this paper, we present a novel variational formulation based on the local characteristics of SAR images for CV mode. The proposed method is aimed to solve the segmentation problem caused by SAR image speckles. Compared with the traditional CV model, the performance of the improved CV...
In this paper, an improved nonlinear image enhancement (NIE) algorithm is proposed for the improvement of the quality of blurred images. Obviously, different parts of an image require different sharpening, different edges of an image require different scaling. The procedure of our method utilizes shape-invariant properties of edges across scale by the use of a nonlinear process with the consideration...
This paper explores a web-based translation workshop platform with local economic characteristics. This translation workshop platform differs from other translation workshops in two aspects. For one thing, it integrates word processing, software applications, information exchange, data storage, information retrieval, customer monitoring and other functions into one. As a result, the exchange of idea...
This paper introduces a new exploratory framework to identify and estimate the local characteristics associated with the distribution of the distances and the directions for the movements. The focus of attention is paid to hundreds and thousands individual records of movement. Traditional methods were either unable to handle the vast data or limited to search the global “law”. As an initial work,...
A new neural network model that uses an asynchronous controller in the feedback loop is described. The proposed asynchronous controller together with the basic neural net forms a bicameral network that can be programmed in various ways to exploit global and local characteristics of stored memory. It is shown that memories can be indexed and ordered. The central result of the letter is that a memory...
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