A multistage algorithm for fast classification of patterns

H. El-Shishiny, M. S. Abdel-Mottaleb, M. El-Raey, A. Shoukry

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

A multistage statistical pattern classification algorithm is proposed. The algorithm consists of three consecutive stages: (1) parallelpiped classification, (2) a new method for ellipsoidal separation, (3) Mahalanobis minimum distance classification. The multistage classifier is designed such that points not classified by a given stage are considered by the next one. The performance of the classifier is tested using a synthetic image. It has been found that this approach reduces computer classification time at a reasonable expense of classification accuracy. The algorithm performs well for the classification of remote sensing images and is implemented on a microcomputer.

Original languageEnglish (US)
Pages (from-to)211-215
Number of pages5
JournalPattern Recognition Letters
Volume10
Issue number4
DOIs
StatePublished - Oct 1989
Externally publishedYes

Keywords

  • Pattern recognition
  • image processing
  • multistage classification
  • remote sensing

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'A multistage algorithm for fast classification of patterns'. Together they form a unique fingerprint.

  • Cite this