Machine Classification of Cloud Particle Types.
Abstract
Classification algorithms have been developed to separate cloud particles into: (1) dendrites, (2) needles, (3) columns, (4) plates, (5) streakers, and (6) a miscellaneous or an unclassifiable class. These algorithms have been incorporated in scheme which when applied to shadow graph images produced by the Knollenberg laser scanning device have demonstrated a capability to classify more accurately than human classifiers and a relative insensitivity to particle orientation. It was concluded that the machine classification developed was greatly superior to manual classification for day to day identification of these particles because the machine classifiers were much faster, less costly, did not suffer from fatigue and were usually more accurate, (i.e. in better agreement with the trainer) then human classifications. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1982
- Accession Number
- ADA123402
Entities
People
- Herbert E. Hunter