A spatial — Spectral adaptive haze removal method for remote sensing images

Abstract

Remote sensing images are widely used in various fields. However, they are usually degraded by haze. In this paper, a spatial-spectral adaptive haze removal method for remote sensing images is proposed. The proposed method is based on haze imaging model and the dark channel prior. Our method is able to diminish the phenomenon of color distortion and haze removed not completely in different bands. The experimental results verify that the proposed method can remove the haze completely and yield visually haze free images, even the haze distribution is uneven.