针对目前隐身飞行器外形雷达散射截面(RCS)难以准确计算的问题，提出了一种基于目标外形几何特征和矩量法的飞行器r CS算法。
In order to solve the problem, a new algorithm for calculating RCS is presented based on the geometrical characteristic of target aircraft configurations and the method of moment (mom).
利用条件矩的性质特征刻画伽玛分布，负二项分布，广义混合指数分布，广义混合几何分布。
By using conditional moments, the author characterized the Gamma, Negative Binomial, Generalized Mixed Exponential and Geometric distributions respectively.
根据不同种类病虫骨架的几何矩特征，应用神经网络进行病虫识别。
According to the quadrature feature of different pests skeletons, a new method of insect pests recognition based on the combination of Mathematical Morphology and Neural Networks is proposed.
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