针对传统数学形态学滤波方法对图像处理效果严重依赖于结构元素的形状和大小以及结构元素的选取完全依靠设计者经验的问题,应用遗传算法对形态学滤波器设计中的结构元素进行优化,获得基于优化结构元素的形态滤波器。结果表明,基于优化结构元素的滤波算法效果要明显优于未经优化的结构元素,算法在噪声抑制和细节保持上均有较好的性能,峰值信噪比有了更大的提高,更适合进行高空间分辨率遥感影像噪声去除。 Aiming at the problem that the traditional mathematical morphology filtering method depends heavily on the shape and size of the structural elements and the selection of the structural elements depend on the designer’s experience, the genetic algorithms are used to optimize the structural elements in the morphological filter design. Morphological Filter Based on Optimized Structural Elements. The results show that the filtering algorithm based on optimized structure elements is better than the unoptimized ones, the algorithm has better performance in noise suppression and detail preservation, and the peak signal to noise ratio has been greatly improved, which is more suitable High spatial resolution remote sensing image noise removal.