摘要
遥感图像处理对于航空、航天、军事侦察、灾害预报等许多军事和民用领域至关重要,本文针对遥感图像噪声大、边界不清楚等问题,提出了应用小波变换对遥感图像进行降噪和边缘检测处理的方法。然后详细介绍了基于小波变换的图像降噪和图像边缘检测原理,并对具体的遥感图像进行降噪和边缘检测处理,实验结果表明小波变换降噪结果优于中值滤波和均值滤波降噪结果,基于小波变换的边缘检测可有效地检测遥感灰度图像的边缘,其边缘检测结果优于Canny算子。
This paper briefly introduces the basic concepts and characteristics of the wavelet transform. According to the problems of high noise and unclear boundary of romote sensing image,we proposed the method to reduce noise and detect edge of the romote sensing image use the wavelet transform.Then described the principles of noise reduction and edge detection of image based on wavelet transform in detail,and do processing of noise reduction and edge detection to the specific romote sensing image.The experimental results show that noise reduction result of wavelet transform is superior to median filter and mean filter,the wavelet transform can detect the edge of romote sensing Grayscale image effectively,the edge detection result is superior to Canny edge detector.
出处
《电子测试》
2010年第10期23-25,31,共4页
Electronic Test
关键词
小波变换
遥感图像
降噪
边缘检测
Wavelet transform
Romote sensing image
Noise reduction
Edge detection
作者简介
徐慧慧，女，硕士研究生，研究方向：模式识别和图像处理。E-mail：xuhuihui55@163．com
孙运强：教授，博士，研究方向为动态测试技术，近场遥测，传感技术。
