基于不同小波变换与同态滤波结合的CBERS-02B卫星CCD图像的薄云去除

J4 ›› 2012, Vol. 42 ›› Issue (1): 275-279.

基于不同小波变换与同态滤波结合的CBERS-02B卫星CCD图像的薄云去除

韩念龙^1,2|刘闯¹|庄立³,张巍⁴

1.北京师范大学资源学院|北京100875;
2.深圳市房地产评估发展中心|广东深圳518034;
3.北京师范大学地理学与遥感科学学院|北京100875;
4.中国科学院深圳先进技术研究院,广东深圳518055

收稿日期:2010-04-20 出版日期:2012-01-26 发布日期:2012-01-26
通讯作者: 刘闯(1948-)，女，教授，博士生导师，主要从事全球变化数据、信息及其在综合自然地理学中的应用研究 E-mail:lchuang@igsnrr.ac.cn
作者简介:韩念龙(1983-)|男|博士研究生|主要从事基于遥感与GIS的自然资源研究|E-mail:nl.han@siat.ac.cn
基金资助:
国家自然科学基金项目（70873117）

Removing Thin Cloud by Combining Wavelet Transforms and Homomorphic Filter in the CBERS-02B Image

HAN Nian-long^1,2, LIU Chuang¹, ZHUANG Li³,ZHANG Wei⁴

1.College of Resources Science &|Technology, Beijing Normal University, Beijing100875, China;
2.Center for Assessment and Development of Real Estate, Shenzhen518034,Guangdong|China;
3.Department of Geography, Beijing Normal University, Beijing100875, China;
4.Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen518055,Guangdong|China

Received:2010-04-20 Online:2012-01-26 Published:2012-01-26

摘要/Abstract

摘要：

卫星CCD图像的去云处理对遥感信息的增强与提取有重要的意义，尤其是在云覆盖严重的低纬度地区。为去除CBERS-02B卫星CCD图像中薄云的影响，分别使用Mallat和à trous 2种小波变换对图像进行分解；利用同态滤波对2种小波分解图像的低频系数进行处理，衰减其低频信息；将处理后的小波低频系数与分解的高频系数进行小波重构，从而达到去云的目的。定量分析基于Mallat和à trous小波变换结合同态滤波法的去云结果表明，经à trous小波变换结合同态滤波法的去云影像所包含信息量大，细节信息丰富，去云效果较好。

关键词: CBERS-02B, 薄云去除, 小波变换, 同态滤波

Abstract:

It is important to remove cloud in the CCD images of satellite for enhancing and extracting remote sensing information，especially in low latitude areas. In order to remove thin cloud in the CBERS-02B CCD images, two different forms of wavelet transforms were used. Low-frequency coefficients that are decomposed by two wavelet transforms are processed by homomorphic filter separately for lowing its low-frequency information. Results is reconstructed with low-frequency coefficients and high-frequency coefficients which decomposed from Mallat and  trous wavelet transform. According to quantitative evaluation,  trous wavelet transform combining with homomorphic filter algorithm can produce good results in thin cloud removal with higher entropy and standard deviation. It also can retain a large amount of information and rich detail information.

Key words: CBERS-02B, cloud removal, wavelet transforms, homomorphic filter

中图分类号:

TP75

韩念龙, 刘闯, 庄立, 张巍. 基于不同小波变换与同态滤波结合的CBERS-02B卫星CCD图像的薄云去除[J]. J4, 2012, 42(1): 275-279.

HAN Nian-long, LIU Chuang, ZHUANG Li, ZHANG Wei. Removing Thin Cloud by Combining Wavelet Transforms and Homomorphic Filter in the CBERS-02B Image[J]. J4, 2012, 42(1): 275-279.

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