基于多结构元素的云杂波背景小目标检测算法  

Detection Algorithm for Small Targets in Cluttered Cloud Background Based on Multi-Structural Elements

作　　者：余小英[1,2] 李凡生[1,2] 邵晓鹏[1] 

机构地区：[1]西安电子科技大学技术物理学院,陕西西安710071 [2]南宁师范高等专科学校物理与信息技术系,广西龙州532400

出　　处：《电子科技》2009年第4期5-10,共6页Electronic Science and Technology

基　　金：陕西省自然科学基金资助项目(2006F20)

摘　　要：背景抑制是小目标检测的基础。传统的形态学单一结构元素,对云杂波背景滤波常留下强云层边缘,增加了后续处理的复杂程度。针对这一问题,在分析云层边缘形状和结构元素选择方法的基础上,构造与云层边缘相关的多结构元素。并用基于多结构元素的小目标检测算法,对云杂波背景图像仿真,仿真结果表明,该算法对云杂波背景抑制效果好,提高图像的信噪比,有效检测出小目标。Background suppression is the basis for small target detection. Use of the filtering of traditional morphological single-structural elements in cluttered cloud background often leads to clouds edge leak and increases complexity to the follow-up dealing. To solve this problem, an analysis is made of the shape of clouds edge and the selection of structure element and the multi-structural elements related to the edge of clouds are constructed. The cluttered cloud background image is simulated by the multi-structural element based small target detection algorithm. The experimental result shows the validity of the algorithm in detecting targets and suppressing background and improving the signal-to-noise ratio（SNR） of the image.

关 键 词：多结构元素 形态学 云杂波背景 小目标检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]