Comparison of two different PNN training approaches for satellite cloud data classification

  • Authors:

  • B. Tian;M. R. Azimi-Sadjadi

  • Affiliations:

  • Dept. of Electr. & Comput. Eng., Colorado State Univ., Fort Collins, CO;-

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 2001

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Abstract

Presents a training algorithm for probabilistic neural networks (PNN) using the minimum classification error (MCE) criterion. A comparison is made between the MCE training scheme and the widely used maximum likelihood (ML) learning on a cloud classification problem using satellite imagery data