Enhancing Cloud Detection in Polar Regions Using Combined Spectral and Textural Features for Landsat 8/9 OLI Imagery

Enhancing Cloud Detection in Polar Regions Using Combined Spectral and Textural Features for Landsat 8/9 OLI Imagery

Remote sensing is a cost-effective and efficient method for studying polar regions. However, cloud cover in optical remote sensing images can diminish the data integrity for certain snow/ice applications. Existing cloud detection algorithms are primarily designed for mid and low latitude images, whi...

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Bibliographic Details
Main Authors: Xinran Shen, Teng Li, Chong Liu, Shaoyin Wang, Lei Zheng, Qi Liang, Xiao Cheng, Jiaqi Yao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Cloud detection
cloud-snow differentiation
function of mask (Fmask)
Landsat 8/9
polar regions
Online Access:https://ieeexplore.ieee.org/document/11048513/
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https://ieeexplore.ieee.org/document/11048513/

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