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.
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)
关键词
多结构元素
形态学
云杂波背景
小目标检测
multiple structuring elements
morphology
cluttered cloud background
small target detection
