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...
Main Authors: | , |
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Format: | Other/Unknown Material |
Language: | unknown |
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Institute of Electrical and Electronics Engineers (IEEE)
2023
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Online Access: | http://dx.doi.org/10.36227/techrxiv.24328495.v1 https://ndownloader.figshare.com/files/42750481 |
Summary: | <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> |
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