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Haze Reduction from Remotely Sensed Data

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 t...

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Main Authors: Asmala, A., Abd Ghani, M. K., Sazalinsyah, Razali
Format: Article
Language:English
Published: HIKARI LTD 2014
Subjects:
Q Science (General)
Online Access:http://eprints.utem.edu.my/id/eprint/12096/1/ahmadAMS33-36-2014_published.pdf
http://eprints.utem.edu.my/id/eprint/12096/
http://www.m-hikari.com/ams/ams-2014/ams-33-36-2014/ahmadAMS33-36-2014.pdf
http://dx.doi.org/10.12988/ams.2014.4289
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id my.utem.eprints.12096
record_format eprints
spelling my.utem.eprints.120962015-05-28T04:22:23Z http://eprints.utem.edu.my/id/eprint/12096/ Haze Reduction from Remotely Sensed Data Asmala, A. Abd Ghani, M. K. Sazalinsyah, Razali Q Science (General) 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. HIKARI LTD 2014 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/12096/1/ahmadAMS33-36-2014_published.pdf 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 http://www.m-hikari.com/ams/ams-2014/ams-33-36-2014/ahmadAMS33-36-2014.pdf http://dx.doi.org/10.12988/ams.2014.4289
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Asmala, A.
Abd Ghani, M. K.
Sazalinsyah, Razali
Haze Reduction from Remotely Sensed Data
description 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.
format Article
author Asmala, A.
Abd Ghani, M. K.
Sazalinsyah, Razali
author_facet Asmala, A.
Abd Ghani, M. K.
Sazalinsyah, Razali
author_sort Asmala, A.
title Haze Reduction from Remotely Sensed Data
title_short Haze Reduction from Remotely Sensed Data
title_full Haze Reduction from Remotely Sensed Data
title_fullStr Haze Reduction from Remotely Sensed Data
title_full_unstemmed Haze Reduction from Remotely Sensed Data
title_sort haze reduction from remotely sensed data
publisher HIKARI LTD
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/12096/1/ahmadAMS33-36-2014_published.pdf
http://eprints.utem.edu.my/id/eprint/12096/
http://www.m-hikari.com/ams/ams-2014/ams-33-36-2014/ahmadAMS33-36-2014.pdf
http://dx.doi.org/10.12988/ams.2014.4289
_version_ 1665905486719877120
score 13.211869

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