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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Bibliographic Details
Main Authors: Mosadegh, Ehsan, Nolin, Anne W.
Format: Other/Unknown Material
Language:unknown
Published: Institute of Electrical and Electronics Engineers (IEEE) 2023
Subjects:
Arctic
Sea ice
Online Access:http://dx.doi.org/10.36227/techrxiv.24328495.v1
https://ndownloader.figshare.com/files/42750481
Description
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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