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DOI: 10.14569/IJACSA.2019.0101011
PDF

Haze Effects on Satellite Remote Sensing Imagery and their Corrections

Author 1: Asmala Ahmad
Author 2: Shaun Quegan
Author 3: Suliadi Firdaus Sufahani
Author 4: Hamzah Sakidin
Author 5: Mohd Mawardy Abdullah

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 10, 2019.

  • Abstract and Keywords
  • How to Cite this Article
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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.

Keywords: Haze effects; haze removal; remote sensing; accuracy; visibility

Asmala Ahmad, Shaun Quegan, Suliadi Firdaus Sufahani, Hamzah Sakidin and Mohd Mawardy Abdullah, “Haze Effects on Satellite Remote Sensing Imagery and their Corrections” International Journal of Advanced Computer Science and Applications(IJACSA), 10(10), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101011

@article{Ahmad2019,
title = {Haze Effects on Satellite Remote Sensing Imagery and their Corrections},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101011},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101011},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {10},
author = {Asmala Ahmad and Shaun Quegan and Suliadi Firdaus Sufahani and Hamzah Sakidin and Mohd Mawardy Abdullah}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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