A Haze Removal Technique For Satellite Remote Sensing Data Based On Spectral And Statistical Methods

Haze originated from forest fire burning in Indonesia has become a problem for South-east Asian countries including Malaysia. Haze affects data recorded using satellite due to attenuation of solar radiation by haze constituents. This causes problems to remote sensing data users that require continuo...

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Main Author:	Saiful Bahari, Nurul Iman
Format:	Thesis
Language:	English English
Published:	2016
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/18196/1/A%20Haze%20Removal%20Technique%20For%20Satellite%20Remote%20Sensing%20Data%20Based%20On%20Spectral%20And%20Statistical%20Methods%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/18196/2/A%20Haze%20Removal%20Technique%20For%20Satellite%20Remote%20Sensing%20Data%20Based%20On%20Spectral%20And%20Statustical%20Methods.pdf
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id	my-utem-ep.18196
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Ahmad, Asmala
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Saiful Bahari, Nurul Iman A Haze Removal Technique For Satellite Remote Sensing Data Based On Spectral And Statistical Methods
description	Haze originated from forest fire burning in Indonesia has become a problem for South-east Asian countries including Malaysia. Haze affects data recorded using satellite due to attenuation of solar radiation by haze constituents. This causes problems to remote sensing data users that require continuous data, particularly for land cover mapping. There are numbers of haze removal techniques but these techniques suffer from limitations since they are developed and designed best for particular regions, i.e. mid-latitude and high-latitude countries. Almost no haze removal techniques are developed and designed for countries within equatorial region where Malaysia is located. This study is meant to identify the effects of haze on remote sensing data, develop haze removal technique that is suitable for equatorial region, especially Malaysia and evaluate and test it. Initially, spectral and statistical analyses of simulated haze datasets are carried out to identify the effects of haze on remote sensing data. Land cover classification using support vector machine (SVM) is carried out in order to investigate the haze effects on different land covers. The outcomes of the analyses are used in designing and developing the haze removal technique. Haze radiances due to radiation attenuation are removed by making use of pseudo invariant features (PIFs) selected among reflective objects within the study area. Spatial filters are subsequently used to remove the remaining noise causes by haze variability. The technique is applied on simulated hazy dataset for performance evaluation and then tested on real hazy dataset. It is revealed that, the technique is able to remove haze and improve the data usage for visibility ranging from 6 to 12 km. Haze removal is not necessary for data with visibility more than 12 km because able to produce classification accuracy more than 85%, i.e. the acceptable accuracy. Nevertheless, for data with visibility less than 6 km, the technique is unable to improve the accuracy to the acceptable one due to the severe modification of spectral and statistical properties caused by haze.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Saiful Bahari, Nurul Iman
author_facet	Saiful Bahari, Nurul Iman
author_sort	Saiful Bahari, Nurul Iman
title	A Haze Removal Technique For Satellite Remote Sensing Data Based On Spectral And Statistical Methods
title_short	A Haze Removal Technique For Satellite Remote Sensing Data Based On Spectral And Statistical Methods
title_full	A Haze Removal Technique For Satellite Remote Sensing Data Based On Spectral And Statistical Methods
title_fullStr	A Haze Removal Technique For Satellite Remote Sensing Data Based On Spectral And Statistical Methods
title_full_unstemmed	A Haze Removal Technique For Satellite Remote Sensing Data Based On Spectral And Statistical Methods
title_sort	haze removal technique for satellite remote sensing data based on spectral and statistical methods
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2016
url	http://eprints.utem.edu.my/id/eprint/18196/1/A%20Haze%20Removal%20Technique%20For%20Satellite%20Remote%20Sensing%20Data%20Based%20On%20Spectral%20And%20Statistical%20Methods%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/18196/2/A%20Haze%20Removal%20Technique%20For%20Satellite%20Remote%20Sensing%20Data%20Based%20On%20Spectral%20And%20Statustical%20Methods.pdf
_version_	1747833916164669440
spelling	my-utem-ep.181962021-10-10T15:13:27Z A Haze Removal Technique For Satellite Remote Sensing Data Based On Spectral And Statistical Methods 2016 Saiful Bahari, Nurul Iman T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Haze originated from forest fire burning in Indonesia has become a problem for South-east Asian countries including Malaysia. Haze affects data recorded using satellite due to attenuation of solar radiation by haze constituents. This causes problems to remote sensing data users that require continuous data, particularly for land cover mapping. There are numbers of haze removal techniques but these techniques suffer from limitations since they are developed and designed best for particular regions, i.e. mid-latitude and high-latitude countries. Almost no haze removal techniques are developed and designed for countries within equatorial region where Malaysia is located. This study is meant to identify the effects of haze on remote sensing data, develop haze removal technique that is suitable for equatorial region, especially Malaysia and evaluate and test it. Initially, spectral and statistical analyses of simulated haze datasets are carried out to identify the effects of haze on remote sensing data. Land cover classification using support vector machine (SVM) is carried out in order to investigate the haze effects on different land covers. The outcomes of the analyses are used in designing and developing the haze removal technique. Haze radiances due to radiation attenuation are removed by making use of pseudo invariant features (PIFs) selected among reflective objects within the study area. Spatial filters are subsequently used to remove the remaining noise causes by haze variability. The technique is applied on simulated hazy dataset for performance evaluation and then tested on real hazy dataset. It is revealed that, the technique is able to remove haze and improve the data usage for visibility ranging from 6 to 12 km. Haze removal is not necessary for data with visibility more than 12 km because able to produce classification accuracy more than 85%, i.e. the acceptable accuracy. Nevertheless, for data with visibility less than 6 km, the technique is unable to improve the accuracy to the acceptable one due to the severe modification of spectral and statistical properties caused by haze. 2016 Thesis http://eprints.utem.edu.my/id/eprint/18196/ http://eprints.utem.edu.my/id/eprint/18196/1/A%20Haze%20Removal%20Technique%20For%20Satellite%20Remote%20Sensing%20Data%20Based%20On%20Spectral%20And%20Statistical%20Methods%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/18196/2/A%20Haze%20Removal%20Technique%20For%20Satellite%20Remote%20Sensing%20Data%20Based%20On%20Spectral%20And%20Statustical%20Methods.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100102 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Ahmad, Asmala 1. Ahmad, A., 2014. Atmospheric Effects on Land Classification using Satellite and Their Correction. 2. 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A Haze Removal Technique For Satellite Remote Sensing Data Based On Spectral And Statistical Methods

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