| 基于小波变换去除遥感图像非高斯条纹噪音方法探讨 |
| |
| 引用本文： | 陈涛,李兵海.基于小波变换去除遥感图像非高斯条纹噪音方法探讨[J].地质与勘探,2008,44(1):94-96. |
| |
| 作者姓名： | 陈涛 李兵海 |
| |
| 作者单位： | 1. 成都理工大学地球科学学院,成都,610059;西华师范大学国土资源学院,南充,637002
2. 核工业航测遥感中心,石家庄,050002 |
| |
| 摘 要： | 遥感图像的条纹噪音,不但影响图像的判读,而且时图像的后续处理影响较大.利用常规处理软件去噪,在去除条纹的同时,也去除了图像的细节纹理,相当于降低了图像的几何分辨率;使用小波阈值去噪方法,效果欠佳.文章使用小波反阈值方法,不仅去除了图像上的条纹噪音,而且对图像的细节纹理不产生目视效果上的影响,达到了较好的效果.
|
| 关 键 词： | 遥感图像处理 条形噪音 非高斯噪音 去噪 小波变换 |
| 文章编号： | 0495-5331（2008）01-0094-03 |
| 收稿时间： | 2006-09-21 |
| 修稿时间： | 2006-12-05 |
REMOVAL OF NON-GAUSSIAN STRIPE NOISE IN IMAGES BASED ON WAVELET |
| |
| CHEN Tao,LI Bing-hai.REMOVAL OF NON-GAUSSIAN STRIPE NOISE IN IMAGES BASED ON WAVELET[J].Geology and Prospecting,2008,44(1):94-96. |
| |
| Authors: | CHEN Tao LI Bing-hai |
| |
| Abstract: | Stripe noise of remote sensing image has influence not only on image interpretation, but also on following processing. Using conventional processing software to removing stripes, detail texture of images can be removed, and geometrical resolution of images is also reduced. It is not effective to de - noise by wavelet threshold method. Wavelet counter - threshold method is used to remove stripes. This effective method can not only remove stripe noise of images, but also has not any visual influence on detail texture of images. |
| |
| Keywords: | processing of remote sensing image stripe noise non -Gauss noise de -noise wavelet transform |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《地质与勘探》浏览原始摘要信息 |
| 点击此处可从《地质与勘探》下载免费的PDF全文 |
|
