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The proposed new fusion algorithm is based on the finite Ridgelet transform(FRIT) and PCA. FRIT could capture two and higher dimensional singularity is analyzed. FRIT is used to decompose the image into low and high frequency components. The PCA method is used to fuse the low frequency coefficients. And for the high frequency coefficients, the maximum-method and the region consistency check are adopted...
Force group classification is a key component of situation assessment. In the paper, a template-based method is proposed to recognize force group in the battlefield. First, the corresponding templates are constructed to represent each level group according to the hierarchy for force group. Then, the template-matching algorithm is given in order to match the group with templates. In this paper, the...
The proposed new fusion algorithm is based on the improved pulse coupled neural network (PCNN) model and the contrast of the image. Compared with the traditional algorithms where the linking strength of each neuron is the same and its value is chosen through experimentation, this algorithm uses the contrast of each pixel as its value, so that the linking strength of each pixel can be chosen adaptively...
Sensor networks consist of large numbers of network sensors that can be dynamically deployed in the battlefield and used for situational awareness in network centric warfare (NCW). In this paper, our purpose is to dynamically integrate these sensor networks with grid service to support real-time sensing, exploitation and decision-making in a rich tactical environment. Heterogeneous sensors' capabilities...
A novel image fusion algorithm based on contourlet transform is introduced. Firstly, the problem that wavelet transform could not efficiently represent the singularity of linear/curve in image processing is analyzed. The principal of contourlet and its good performance in expressing the singularity of two or higher dimensional are studied. Secondly, the feasibility of image fusion using contourlet...
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