Haze removal in Remote sensing 2-D information: Methods and Analysis

Abstract

Haze reduces an image's quality, reducing its aesthetic appeal and visibility in outdoor locations. This is because of the presence of smog, fog, haze etc. Therefore, image de hazing is one of the important considerations. Dehazing mechanisms are widely used in military and civil regions, such as, monitoring of traffic, remote sensing, identification of targets etc. This study examines the key de haze approaches that have been developed over the last decade. This paper conducts a thorough examination of dehazing techniques in order to demonstrate that they may be used effectively in real-world situations. In this paper, image dehazing is classified into two sections, first section is on image enhancement and second is explained on restoration model. According to principles and characteristics, all approaches are analyzed and corresponding sub-categories are presented. Following that, many quality assessment methodologies are explained, sorted, and examined in depth. The aim of the paper is to analysis recent advances in image de hazing in a short manner, as well as to give one concise knowledge of image de hazing methodologies.