Ahmad, A., Quegan, S. orcid.org/0000-0003-4452-4829, Firdaus, S. et al. (2 more authors) (2019) Haze effects on satellite remote sensing imagery and their corrections. International Journal of Advanced Computer Science and Applications, 10 (10). pp. 69-76. ISSN 2158-107X
Abstract
Imagery recorded using satellite sensors operating at visible wavelengths can be contaminated by atmospheric haze that originates from large scale biomass burning. Such issue can reduce the reliability of the imagery and therefore having an effective method for removing such contamination is crucial. The principal aim of this study is to investigate the effects of haze on remote sensing imagery and develop a method for removing them. In order to get a better understanding on the behaviour of haze, the effects of haze on satellite imagery were initially studied. A methodology of removing haze based on haze subtraction and filtering was then developed. The developed haze removal method was then evaluated by means of signal-to-noise ratio (SNR) and classification accuracy. The results show that the haze removal method is able to improve the haze-affected imagery qualitatively and quantitatively.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 © The Science and Information (SAI) Organization Limited. This is an open access article licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited. |
Keywords: | Haze effects; haze removal; remote sensing; accuracy; visibility |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Feb 2025 08:37 |
Last Modified: | 04 Feb 2025 08:37 |
Status: | Published |
Publisher: | The Science and Information Organization |
Refereed: | Yes |
Identification Number: | 10.14569/ijacsa.2019.0101011 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:222793 |
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Filename: Asmala-Haze_Effects_RS_Imagery_J_Adv_Comp_Sci_App_2019.pdf
Licence: CC-BY 4.0