基于数学形态学的遥感图像条带噪声去除方法

A Method for Removing Stripe Noise in Remote Sensing Images Based on Mathematical Morphology

遥感图像对于了解地球特征信息具有重要作用,噪声去除效果亟待加强,因此,设计基于数学形态学的遥感图像条带噪声去除方法。分析遥感图像条带噪声来源,设置遥感图像特征参数;基于数学形态学提取图像条带噪声的结构元素,提高数学形态学对图像处理的准确性;计算条带噪声信噪比,进一步提高条带噪声去除效果,进而实现遥感图像条带噪声的有效去除。实验结果表明:设计方法的噪声去除效果更佳,极具推广价值。

Remote sensing images play an important role in understanding the earth's feature information,and the noise removal effect needs to be strengthened.Therefore,a stripe noise removal method based on mathematical morphology is designed.Analyze the source of stripe noise in remote sensing images,and set the characteristic parameters of remote sensing images;extract the structural elements of image stripe noise based on mathematical morphology,and improve the accuracy of image processing by mathematical morphology;calculate the signal-to-noise ratio of stripe noise to further improve the stripe noise removal effect,and then realize the effective removal of stripe noise in remote sensing images.The experimental results show that the design method has better noise removal effect and is of great value for popularization.