基于最小细节熵准则的雷达网信号增强
Netted Radar Data Enhancement Based on Detail Entropy Minimization
-
摘要: 提出了细节熵的概念,它能更真实地反映图像的清晰程度。采用最小细节熵准则对雷达网的数据进行融合。对于复杂目标采用迭代方法计算了最小细节熵准则所需的累加权值。为满足实际工作中实时性要求,采用神经网络来获取融合时的累加权值。
-
关键词:
- 熵;神经网络;雷达网;融合;信噪比
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.
计量
- 文章访问数: 1999
- HTML全文浏览量: 94
- PDF下载量: 825
- 被引次数: 0