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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| Language: | en |
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HIKARI Ltd.
2017
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| 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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| author | Ahmad, Asmala Quegan, Shaun |
| author_facet | Ahmad, Asmala Quegan, Shaun |
| author_sort | Ahmad, Asmala |
| building | UTEM Library |
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| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Article |
| id | my.utem.eprints-22721 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2017 |
| publisher | HIKARI Ltd. |
| record_format | eprints |
| spelling | my.utem.eprints-227212021-08-22T16:45:35Z http://eprints.utem.edu.my/id/eprint/22721/ Analysis Of Signal To Noise Ratio On Restored Multispectral Data Ahmad, Asmala Quegan, Shaun QA Mathematics QR Microbiology 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. HIKARI Ltd. 2017 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/22721/2/ahmadAMS5-8-2017%20analysis%20of%20snr%20on%20restored%20multispectral%20data.pdf 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 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 |
| spellingShingle | QA Mathematics QR Microbiology Ahmad, Asmala Quegan, Shaun Analysis Of Signal To Noise Ratio On Restored Multispectral Data |
| title | Analysis Of Signal To Noise Ratio On Restored Multispectral Data |
| title_full | Analysis Of Signal To Noise Ratio On Restored Multispectral Data |
| title_fullStr | Analysis Of Signal To Noise Ratio On Restored Multispectral Data |
| title_full_unstemmed | Analysis Of Signal To Noise Ratio On Restored Multispectral Data |
| title_short | Analysis Of Signal To Noise Ratio On Restored Multispectral Data |
| title_sort | analysis of signal to noise ratio on restored multispectral data |
| topic | QA Mathematics QR Microbiology |
| url | 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 |
| url_provider | http://eprints.utem.edu.my/ |