Deep learning-based identification of precipitation clouds from all-sky camera data for observatory safety

This publication has 10 references indexed in Scilit:

• An all-sky camera image classification method using cloud cover features
  Atmospheric Measurement Techniques, 2022
• CloudU-Net: A Deep Convolutional Neural Network Architecture for Daytime and Nighttime Cloud Images’ Segmentation
  IEEE Geoscience and Remote Sensing Letters, 2020
• Cloud Identification from All-sky Camera Data with Machine Learning
  The Astronomical Journal, 2020
• Squeeze-and-Excitation Networks
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
• Cloud detection in all sky ConCam images by Gaussian fitting and valley detection in histogram
  2015
• The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
  PLOS ONE, 2015
• Feature Extraction from Whole-Sky Ground-Based Images for Cloud-Type Recognition
  Journal of Atmospheric and Oceanic Technology, 2008
• An introduction to ROC analysis
  Pattern Recognition Letters, 2006
• Automated ground-based cloud recognition
  Pattern Analysis and Applications, 2005
• The use of the area under the ROC curve in the evaluation of machine learning algorithms
  Pattern Recognition, 1997