Haze Removal Concept in Remote Sensing

Asmala, A. and Shaun, Quegan (2016) Haze Removal Concept in Remote Sensing. Applied Mathematical Sciences, 10 (18). pp. 845-859. ISSN 1312-885X

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Abstract

Atmospheric haze causes visibility to drop, therefore affecting data acquired using optical sensors on board remote sensing satellites. Haze modifies the spectral signatures of land cover classes and reduces classification accuracy so causing problems to users of remote sensing data. This paper addresses general concepts of haze removal from remote sensing data. Degradation of satellite data is caused by two key components, i.e. haze scattering and signal attenuation. In developing the concept, a statistical model that makes use both components is used. The former is represented by a weighted haze mean while the latter is represented by a haze randomness component that deals with the signal attenuation. The results show that haze scattering can be removed by subtracting an estimated weighted haze mean while signal attenuation can be removed by applying a spatial filter.

Item Type:	Article
Uncontrolled Keywords:	Haze, Remote Sensing, Classification Accuracy
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Divisions:	Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User:	Dr. Asmala Ahmad
Date Deposited:	18 Mar 2016 07:20
Last Modified:	04 Sep 2021 19:26
URI:	http://eprints.utem.edu.my/id/eprint/15961
Statistic Details:	View Download Statistic

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