基于双距离像的空间目标多姿态角特征融合识别算法

介绍一种有效的空间目标电磁特征提取与识别方法.首先通过处理目标多个姿态角的平均距离像,在双谱变换的基础上,生成目标姿态角的双距离像;然后计算双距离像矩阵的特征值,得到一个融合特征矢量,以此为判决依据对空间目标进行分类识别;最后,通过大量实测数据验证,该方法对空间目标能作出正确判决,统计识别正确率高于常用的前向(BP)神经网络分类方法.

Dual range-based space target multi-attitude angles feature fusion recognition algorithm

An effective space target electromagnetic signature extraction and recognition method is presented. By dealing
with the average range which is acquired from diverse attitude angles, target attitude angles'' dual range is obtained based on dispectrum transformation. Then the algorithm calculates the eigenvalue of the dual range matrix, and obtains a fusion feature vector that can identify the space object with information fusion technology. Finally, by means of validation with measurement data, this method can recognize and classify space objects exactly, and is better than the usual BP neural network classification method statistically.