Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance

Topographic effects in satellite images are not errors but distortions caused by the solar and surface geometry. Surfaces facing towards the Sun tend to be brighter while surfaces facing away from the Sun are generally darker. This effect is strongly related to solar surface incident angle, and i...

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Main Author: Yeap, Eng Choo
Format: Thesis
Language:English
Published: 2020
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Online Access:http://eprints.usm.my/55119/1/YEAP%20ENG%20CHOON%20-%20TESIS%20cut.pdf
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spelling my.usm.eprints.55119 http://eprints.usm.my/55119/ Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance Yeap, Eng Choo QC1 Physics (General) Topographic effects in satellite images are not errors but distortions caused by the solar and surface geometry. Surfaces facing towards the Sun tend to be brighter while surfaces facing away from the Sun are generally darker. This effect is strongly related to solar surface incident angle, and it is one of the main factors that increase spectral variation in satellite images. Spectral variation may reduce accuracy, such as non-supervised classification, which can limit the capability of autonomous remote sensing applications. Many researchers have tried to reduce the effect of topography in the past with success; however, most of these methods are complicated and require many parameters. To address this problem, we developed algorithms that quantify, reduce, and induce topographical effects in satellite images by exploring the relationship between direct and diffuse solar irradiance. These algorithms use data from extraterrestrial irradiance, atmospheric profiles, digital elevation models, and radiative transfer models to calculate the amount of irradiance on Earth’s surface to reduce distortions due to the topographic effect. The algorithm was tested on 11 Landsat 8 OLI satellite images assessed with 120 sample points each. The results demonstrate that this approach suppresses the topographic effect and improves spectral signatures and similarities between satellite images taken on different dates using topographic induction. 2020-07 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/55119/1/YEAP%20ENG%20CHOON%20-%20TESIS%20cut.pdf Yeap, Eng Choo (2020) Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QC1 Physics (General)
spellingShingle QC1 Physics (General)
Yeap, Eng Choo
Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance
description Topographic effects in satellite images are not errors but distortions caused by the solar and surface geometry. Surfaces facing towards the Sun tend to be brighter while surfaces facing away from the Sun are generally darker. This effect is strongly related to solar surface incident angle, and it is one of the main factors that increase spectral variation in satellite images. Spectral variation may reduce accuracy, such as non-supervised classification, which can limit the capability of autonomous remote sensing applications. Many researchers have tried to reduce the effect of topography in the past with success; however, most of these methods are complicated and require many parameters. To address this problem, we developed algorithms that quantify, reduce, and induce topographical effects in satellite images by exploring the relationship between direct and diffuse solar irradiance. These algorithms use data from extraterrestrial irradiance, atmospheric profiles, digital elevation models, and radiative transfer models to calculate the amount of irradiance on Earth’s surface to reduce distortions due to the topographic effect. The algorithm was tested on 11 Landsat 8 OLI satellite images assessed with 120 sample points each. The results demonstrate that this approach suppresses the topographic effect and improves spectral signatures and similarities between satellite images taken on different dates using topographic induction.
format Thesis
author Yeap, Eng Choo
author_facet Yeap, Eng Choo
author_sort Yeap, Eng Choo
title Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance
title_short Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance
title_full Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance
title_fullStr Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance
title_full_unstemmed Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance
title_sort development of an algorithm to reduce the topographical effects in reflected radiance
publishDate 2020
url http://eprints.usm.my/55119/1/YEAP%20ENG%20CHOON%20-%20TESIS%20cut.pdf
http://eprints.usm.my/55119/
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score 13.211869