期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：10
页码：69-76
出版社：Science and Information Society (SAI)
摘要：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.
