An effective approach to remove cloud-fog cover and enhance remotely sensed imagery
Yuechen Li, Jin Chen, Yuanyuan Wang, Ruijie Lu · 2005
A new approach is proposed to remove cloud-fog cover and to enhance satellite imagery based on Laplacian enhancement and histogram transformation. The new approach is also compared with other two methods: homomorphism filter and histogram match. Information entropy and spectral correlation coefficient are used to evaluate the results. A multi- spectral SPOT image, which is contaminated by thin cloud-fog noises, is selected for the research. The results from experimental tests show that the new approach is better than the two others, not only removing cloud-fog cover and enhangcing the spatial information of images but also keeping the true spectral feature of the images.