Study of thin cloud removal method for CBERS-02 image

作     者：MA Jianwen1, GU Xingfa1, FENG Chun2 & GUO Jianning2 1. Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101, China 2. China Center for Resource Satellite Data and Applications, Beijing 100073, China 

作者机构：Institute of Remote Sensing Application Chinese Academy of Sciences China Center for Resource Satellite Data and Applications 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2005年第48卷第S2期

页      面：91-99页

核心收录：

学科分类：0810[工学-信息与通信工程] 083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081802[工学-地球探测与信息技术] 08[工学] 0818[工学-地质资源与地质工程] 0805[工学-材料科学与工程（可授工学、理学学位）] 081602[工学-摄影测量与遥感] 0816[工学-测绘科学与技术] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：CBERS-02 cloud removal surface reflectance mean reflectance matching. 

摘      要：The China Brazil Earth Resources Satellite (CBERS) ended the dependence on foreign satellites. Along with the series of CBERS and the enhancement of satellite applications, it is necessary to search correlative data processing methods. Because cloud appears in the atmosphere, an image with clear sky conditions is often hard to obtain. How to remove cloud is an important sector of increasing image quality. An improved homomorphism filtering method is adopted to remove thin cloud qualitatively at first, and all bands are selected to classify pixels. Based on the fact that visible band images contain more aerosol effects than infrared bands, visible bands are used to determine clear or hazy regions and the reflectances of different surface classes in clear regions are calculated. At last the mean reflectance of the same classes in clear and hazy regions is matched to remove cloud. The image visual effect is improved; meanwhile, the ground reflectance is retrieved to meet the needs of remote sensing quantification.