Study of thin cloud removal method for CBERS-02 image

For several years, China Brazil Earth Resources Satellie (CBERS) data have been ap- plied to agriculture, irrigation works, zoology construction, environment protection, sustainable development, resource survey, etc. The applications have played important roles in country economic construction, and they have brought favorable social and economic benefits. They provide references for government decision-making and effi- cient information for the development of correlative industries. Furthe…

Study of thin cloud removal method for CBERS-02 image

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.