基于数学形态学算法的遥感图像边缘去噪方法  

Remote sensing image edge denoising method based on mathematical morphology algorithm

作　　者：郑雅茹[1] ZHENG Yaru(Xi'an Aeronautical Polytechnic Institute,Xi'an 710089,China)

机构地区：[1]西安航空职业技术学院,西安710089

出　　处：《自动化与仪器仪表》2022年第5期36-39,共4页Automation & Instrumentation

基　　金：陕西省教育厅专项科研计划项目(19JK0436)。

摘　　要：为了提升遥感图像边缘去噪质量以及去噪效率,设计一种基于数学形态学算法的遥感图像边缘去噪方法。对遥感图像数据实施归一化处理、标准化处理、图像增强处理。以预处理后的数据作为研究基础,对原有形态边缘提取算子实施多次改进,采用加权自适应多尺度形态边缘提取算法提取遥感图像边缘,利用伞形算子进行递归局部邻域扩散,实现遥感边缘图像去噪。测试结果表明,该方法的最大去噪误差与平均去噪误差较小,边缘去噪时间较短,小曲率数据点的个数明显增加,而大曲率数据点的个数则明显减少,说明设计方法的遥感图像边缘去噪质量高,去噪效率高。In order to improve the quality and efficiency of remote sensing image edge denoising,a remote sensing image edge denoising method based on mathematical morphology algorithm is designed.The remote sensing image data are processed by normalization,standardization and image enhancement.Based on the preprocessed data,the original morphological edge extraction operator is improved for many times.The weighted adaptive multi-scale morphological edge extraction algorithm is used to extract the edge of remote sensing image,and the umbrella operator is used for recursive local neighborhood diffusion to realize the denoising of remote sensing edge image.The test results show that the maximum denoising error and average denoising error of this method are small,the edge denoising time is short,the number of small curvature data points increases significantly,while the number of large curvature data points decreases significantly,which shows that the edge denoising quality and denoising efficiency of remote sensing image of the design method are high.

关 键 词：数学形态学算法 遥感图像 边缘去噪 图像增强处理 边缘提取算子 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]