Haze and Cirrus Removal for Remote Sensing Image by Haze Thickness Map Estimation

Multispectral satellite images are often affected by haze and/or cirrus. A previous paper conferred a haze removal method that calculates a haze thickness based on a local search of dark objects. The haze-free signal is restored by subtracting the HTM from the affected image. The HTM method is substantially improved by employing the 1.38-μm cirrus band. The top-of-troposphere reflectance cirrus band is used as an additional source of message. The process restores the information in highly inhomogeneous surfaces extenuated by a low-altitude haze and high-altitude cirrus, improving the clarification of the scene information while preserving the shape of the spectral signatures. A novel combined haze and cirrus removal that uses visible bands and a cirrus band to calculate the HTM.There are three different approaches to solve this problem are method for dehazing ,method for cirrus removal,and developed haze and cirrus combined approach .The advantage of this method over state of art cirrus algorithm is independent of cirrus correlation parameter estimation .The new method perform better than the previous haze removal and also better than the current state of art cirrus removal Keywords—Image processing, remote sensing image,haze detection ,cirrus detection, Haze thickness map estimation. _________________________________________________________________________________________________________________