On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation

@article{Mahrooghy2012OnAE,
  title={On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation},
  author={Majid Mahrooghy and Valentine G. Anantharaj and Nicolas H. Younan and James Aanstoos and Kuo-lin Hsu},
  journal={Journal of Atmospheric and Oceanic Technology},
  year={2012},
  volume={29},
  pages={922-932}
}
AbstractBy employing wavelet and selected features (WSF), median merging (MM), and selected curve-fitting (SCF) techniques, the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) has been improved. The PERSIANN-CCS methodology includes the following four main steps: 1) segmentation of satellite cloud images into cloud patches, 2) feature extraction, 3) classification of cloud patches, and 4) derivation of the… 

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