A REVIEW ON COMPARATIVE ANALYSIS OF DEHAZING OF REMOTE SENSING IMAGES USING DIFFERENT FILTERS

Abstract

Haze is an atmospheric phenomenon caused by scattering of atmospheric particles in air and these factor causes deterioration of images, captured by the sensors. Haze detection, removal and enhancement of dehazed images are extremely important for the analysis and interpretation of Remote sensing images. This work presents the comparison of haze removal methodologies and analysis of dehazed images in terms of its image quality metrics. Consequently various imaging filters are employed to enhance fine details in the dehazed images and comparative analysis is presented. Simulation results reveal that the filter enhancement technique produces images with better quality and visible improvements in Quality metrics.

Keywords

• remote sensing
• haze removal
• adaptive dehazing
• deformed haze imaging model
• dark channel prior
• dark channel saturation prior