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| Netted Radar Data Enhancement Based on Detail Entropy Minimization |
| Wu Chang-ying; Gu Wen-tao; Xu Jia-dong |
| School of Electronic Information, Northwestern Polytechnical University, Xi’an 710072, China |
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Abstract Detail entropy is proposed which can indicate the image clarity much accurately in the case of that image has slowly changed part. A technique based on detail entropy minimization principle is developed for fusing netted radar data. For complex radar target, the weights are calculated iteratively. But in consider of real-time requirement, the weights are gotten by neural network alternatively.
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Received: 02 September 2004
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2006, Vol. 28 
