Exploring Dehazing Methods For Remote Sensing Imagery: A Review

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Published: Jan 25, 2024
DOI: https://doi.org/10.53555/jaz.v45iS1.3460
Keywords:
Remote Sensing, Image Dehazing, Histogram Equalization, Channel Prior, Contrast Enhancement, Dark Channel Priors

Main Article Content

Pooja Dahiya
Dr. Kavita Rathi

Abstract

Remote sensing imagery plays a pivotal role in numerous applications, from environmental monitoring to disaster management. However, the occurrence of haze which is atmospheric often reduces the quality and interpretability of these images.  Atmospheric Haze reduces visibility of remote sensed images by reducing contrast and causing colour distortions.  Dehazing techniques are employed to improve the perceptibility and clarity affected images by haze. In this review, we delve into the realm of dehazing methods specifically tailored for remote sensing imagery, aiming to shed light on their efficacy and applicability. We focus on a comprehensive comparison of four prominent dehazing techniques: Histogram Equalization (HE), Light Channel Prior (LCP), Contrast Enhancement Filters (CEF), and Dark Channel Prior (DCP). These methods, representing a spectrum of approaches, are evaluated based on key quality metrics of images, including PSNR, MSE and SSIM.

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How to Cite
Pooja Dahiya, & Dr. Kavita Rathi. (2024). Exploring Dehazing Methods For Remote Sensing Imagery: A Review. Journal of Advanced Zoology, 45(S1), 143–151. https://doi.org/10.53555/jaz.v45iS1.3460
Issue
Vol. 45 No. S1 (2024)
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biographies

Pooja Dahiya

Research Scholar, Deenbandhu Chhotu Ram University Of Science And Technology, 2Murthal Sonipat (Haryana)

Dr. Kavita Rathi

Associate Professor, 2Deenbandhu Chhotu Ram University Of Science And Technology, 2Murthal Sonipat (Haryana)

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