Quality Assessment Of Restored Satellite Data Based On Signal To Noise Ratio

Ahmad, Asmala and Shaun, Quegan (2016) Quality Assessment Of Restored Satellite Data Based On Signal To Noise Ratio. Applied Mathematical Sciences, 10 (49). pp. 2443-2450. ISSN 1314-7552

Text 2.3.1.1.1.1 QUALITY ASSESMENT AMS.pdf - Submitted Version Download (93kB)

Abstract

A practical concept of assessing the quality of restored data based on signal to noise ratio (SNR) is reported. The data come from remote sensing satellite and has undergone restoration process due to atmospheric haze effects. The restoration involves removing haze mean due to haze scattering and haze randomness due to haze spatial variability. The results shows that the SNR of restored data can be computed if the haze mean and haze randomness components are known.

Item Type:	Article
Uncontrolled Keywords:	Haze, Remote Sensing, Signal to Noise ratio
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Nor Aini Md. Jali
Date Deposited:	27 Mar 2017 03:42
Last Modified:	19 Jul 2021 02:43
URI:	http://eprints.utem.edu.my/id/eprint/18121
Statistic Details:	View Download Statistic

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