Cloud Detection over Sea Ice Using a Neural Network and Multi-Angle Imaging SpectroRadiometer (MISR) Imagery

<p>This manuscript presents a novel cloud detection algorithm utilizing a neural network technique, developed for identifying cloudy and clear pixels over sea ice in MISR images. Our methodology is based on an extensive multi-angular dataset covering various Arctic regions in different...

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Main Authors: Mosadegh, Ehsan, Nolin, Anne W.
Format: Other/Unknown Material
Language:unknown
Published: Institute of Electrical and Electronics Engineers (IEEE) 2023
Subjects:
Online Access:http://dx.doi.org/10.36227/techrxiv.24328495.v1
https://ndownloader.figshare.com/files/42750481
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spelling crieeecr:10.36227/techrxiv.24328495.v1 2023-12-10T09:45:31+01:00 Cloud Detection over Sea Ice Using a Neural Network and Multi-Angle Imaging SpectroRadiometer (MISR) Imagery Mosadegh, Ehsan Nolin, Anne W. 2023 http://dx.doi.org/10.36227/techrxiv.24328495.v1 https://ndownloader.figshare.com/files/42750481 unknown Institute of Electrical and Electronics Engineers (IEEE) https://creativecommons.org/licenses/by/4.0/ posted-content 2023 crieeecr https://doi.org/10.36227/techrxiv.24328495.v1 2023-11-16T17:54:53Z <p>This manuscript presents a novel cloud detection algorithm utilizing a neural network technique, developed for identifying cloudy and clear pixels over sea ice in MISR images. Our methodology is based on an extensive multi-angular dataset covering various Arctic regions in different seasons, demonstrating strong performance metrics, including F score and Accuracy.</p> <p>We believe that this research contributes significantly to the remote sensing domain and offers a fresh approach to enhancing cloud detection accuracy over sea ice.</p> Other/Unknown Material Arctic Sea ice IEEE Publications (via Crossref) Arctic
institution Open Polar
collection IEEE Publications (via Crossref)
op_collection_id crieeecr
language unknown
description <p>This manuscript presents a novel cloud detection algorithm utilizing a neural network technique, developed for identifying cloudy and clear pixels over sea ice in MISR images. Our methodology is based on an extensive multi-angular dataset covering various Arctic regions in different seasons, demonstrating strong performance metrics, including F score and Accuracy.</p> <p>We believe that this research contributes significantly to the remote sensing domain and offers a fresh approach to enhancing cloud detection accuracy over sea ice.</p>
format Other/Unknown Material
author Mosadegh, Ehsan
Nolin, Anne W.
spellingShingle Mosadegh, Ehsan
Nolin, Anne W.
Cloud Detection over Sea Ice Using a Neural Network and Multi-Angle Imaging SpectroRadiometer (MISR) Imagery
author_facet Mosadegh, Ehsan
Nolin, Anne W.
author_sort Mosadegh, Ehsan
title Cloud Detection over Sea Ice Using a Neural Network and Multi-Angle Imaging SpectroRadiometer (MISR) Imagery
title_short Cloud Detection over Sea Ice Using a Neural Network and Multi-Angle Imaging SpectroRadiometer (MISR) Imagery
title_full Cloud Detection over Sea Ice Using a Neural Network and Multi-Angle Imaging SpectroRadiometer (MISR) Imagery
title_fullStr Cloud Detection over Sea Ice Using a Neural Network and Multi-Angle Imaging SpectroRadiometer (MISR) Imagery
title_full_unstemmed Cloud Detection over Sea Ice Using a Neural Network and Multi-Angle Imaging SpectroRadiometer (MISR) Imagery
title_sort cloud detection over sea ice using a neural network and multi-angle imaging spectroradiometer (misr) imagery
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2023
url http://dx.doi.org/10.36227/techrxiv.24328495.v1
https://ndownloader.figshare.com/files/42750481
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.36227/techrxiv.24328495.v1
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