Using Convolutional Neural Networks for Cloud Detection on VEN<i>μ</i>S Images over Multiple Land-Cover Types

Using Convolutional Neural Networks for Cloud Detection on VEN<i>μ</i>S Images over Multiple Land-Cover Types

In most parts of the electromagnetic spectrum, solar radiation cannot penetrate clouds. Therefore, cloud detection and masking are essential in image preprocessing for observing the Earth and analyzing its properties. Because clouds vary in size, shape, and structure, an accurate algorithm is requir...

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Bibliographic Details
Main Authors: Ondřej Pešek, Michal Segal-Rozenhaimer, Arnon Karnieli
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
remote sensing
CNN
artificial neural network
deep learning
semantic segmentation
Online Access:https://www.mdpi.com/2072-4292/14/20/5210

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