Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery Via Filtered Jaccard Loss Function and Parametric Augmentation

Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery Via Filtered Jaccard Loss Function and Parametric Augmentation

Cloud and cloud shadow segmentation are fundamental processes in optical remote sensing image analysis. Current methods for cloud/shadow identification in geospatial imagery are not as accurate as they should, especially in the presence of snow and haze. This article presents a deep learning-based f...

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Bibliographic Details
Main Authors: Sorour Mohajerani, Parvaneh Saeedi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
38-Cloud
convolutional neural network (CNN)
cloud detection
deep learning
image segmentation
landsat 8
Online Access:https://ieeexplore.ieee.org/document/9394710/

Internet

https://ieeexplore.ieee.org/document/9394710/

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