Decision fusion of sparse representation and support vector mach...We propose a decision fusion method of Sparse Representation (SR) and Support Vector Machine (SVM) for Synthetic Aperture Radar (SAR) image target recognition in this paper. First, a fast SR classifier (FSR-C) with Matching Pursuit (MP) solution is ...
Exploiting Optimal Threshold for Decision Fusion in Wireless Sen...Decision fusion has been adopted in a number of sensor systems to deal with sensing uncertainty and enable the sensors to collaborate with each other. It can distribute computation workload and significantly reduces the communication overhead. However, ...
The reduction and fusion of fuzzy covering systems based on the ...This paper studies reduction of a fuzzy covering and fusion of multi-fuzzy covering systems based on the evidence theory and ... the functions we presented. In the case of multiple information sources, we present a method of information fusion for multi-fuzz
Nonlinear Fusion Using Quantized Measurements and Cubature Parti...Consider the nonlinear estimation fusion problem for dynamic stochastic process in sensor networks. Due to bandwidth or energy ... quantizes each component of the measurement verbatim and sends to fusion center (FC). Subsequently, FC compresses the quan
Novel image fusion method based on discrete fractional random tr... ... a new spectrum transform into the image fusion field and propose a novel fusion method based on discrete fractional random ... carry different information of original images. For different fusion goals, different fusion rules can be adopted in HAS and LAS ...
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