Netted Radar Data Enhancement Based on Detail Entropy Minimization
基于最小细节熵准则的雷达网信号增强

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.