Removing Haze Influence from Remote Sensing Images Captured with Airborne Visible/ Infrared imaging Spectrometer by Cascaded Fusion of DCP, GF, LCC with AHE

Abstract

Haze is one of the factors which deteriorate the quality of AVIRIS (Airborne Visible/ Infrared imaging Spectrometer) images [1]. It reduces clarity and interpretability of images. Removal or suppression of haze becomes essential to enhance quality of images for further applicability and uses. Present article exemplifies haze detection and removal of AVIRIS images by using Proposed Method of Fusion of Dark Channel Prior (DCP), Guided Filter (GF) and Local Color Correction (LCC) with Adaptive Histogram Equalization (AHE). Proposed method of removing haze influence from remote sensing images captured by Airborne Visible/ Infrared imaging Spectrometer produces output with better quality. Images which contain, shadows, flat and highly reflective surfaces results in limitations of proposed method. Proposed fusion based haze removal method gives highest entropy among the algorithms compared, as reflected from experimentation.