摘要
基于小波变换和马氏距离的性质 ,提出了目标 ISAR成像的处理与分类方法。对 IS-AR成像进行 Mallat分解 ,得到图像的边缘图像。计算边缘图像上点的马氏距离 ,得到马氏距离阵列 ,并作为目标特征向量。实验表明 ,该特征向量具有维数少、结构稳定的特点 。
Based on the properties of wavelet transformation and Mahalanobis distance,a method of ISAR imaging processing and classification is proposed. Edge image is obtained by Mallat decomposition of ISAR imaging. The Mahalanobis distance matrix extracted by calculating the Mahalanobis distance of each point on edge image is taken as the eigen vector of targets. The results of experiment show that the eigen vector has stable structure and less dimensions, which can be used to identify targets.
出处
《电光与控制》
2003年第2期70-72,共3页
Electronics Optics & Control
基金
空军工程大学学术基金资助项目
