Asmala, A. and Abd Ghani, M. K. and Sazalinsyah, Razali (2014) Haze Reduction from Remotely Sensed Data. Applied Mathematical Sciences, 8 (36). pp. 1755-1762. ISSN 1312-885X
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Abstract
Haze consists of atmospheric aerosols and molecules that scatter and absorb solar radiation, thus affecting the downward and upward solar radiance to be recorded by remote sensing sensors. Haze modifies the spectral signature of land classes and reduces classification accuracy, so causing problems to users of remote sensing data. Hence, there is a need to reduce the haze effects to improve the usefulness of the data. A way to do this is by integrating spectral and statistical approaches. The result shows that the haze reduction method is able to increase the accuracy of the data statistically and visually.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Information and Communication Technology > Department of Industrial Computing |
| Depositing User: | Dr. Asmala Ahmad |
| Date Deposited: | 10 Apr 2014 03:39 |
| Last Modified: | 28 May 2015 04:22 |
| URI: | http://eprints.utem.edu.my/id/eprint/12096 |
| Statistic Details: | View Download Statistic |
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