Analysis Of Signal To Noise Ratio On Restored Multispectral Data

Ahmad, Asmala and Quegan, Shaun (2017) Analysis Of Signal To Noise Ratio On Restored Multispectral Data. Applied Mathematical Sciences, 11 (7). pp. 299-309. ISSN 1314-7552

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An analysis of signal to noise ratio (SNR) of restored multispectral data is reported. The data comes from multispectral satellite sensor and has undergone a restoration process due to the degradation by atmospheric haze. The restoration involves subtracting haze mean due to haze scattering and filtering haze randomness due to haze spatial variability. The results shows that the SNR of restored data after Gaussian filtering is higher than average and median filtering. The improvement of SNR at short and moderate visibilities is more significant than good visibilities.

Item Type: Article
Uncontrolled Keywords: SNR, Haze, Visibility, Landsat, Filtering
Subjects: Q Science > QA Mathematics
Q Science > QR Microbiology
Divisions: Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 14 Mar 2019 04:24
Last Modified: 22 Aug 2021 16:45
Statistic Details: View Download Statistic

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