Analysis Of Signal To Noise Ratio On Restored Multispectral Data
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 fil...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
HIKARI Ltd.
2017
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/22721/2/ahmadAMS5-8-2017%20analysis%20of%20snr%20on%20restored%20multispectral%20data.pdf http://eprints.utem.edu.my/id/eprint/22721/ http://www.m-hikari.com/ams/ams-2017/ams-5-8-2017/p/ahmadAMS5-8-2017.pdf https://doi.org/10.12988/ams.2017.64155 |
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| Summary: | 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. |
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