Projection based statistical feature extraction with multispectral images and its applications on the Yellow River mainstream line detection

Yanning Zhang, Haichao Zhang, Feng Duan, Xuegong Liu, Lin Han

Research output: Contribution to journalArticlepeer-review

Abstract

Mainstream line is significant for the Yellow River situation forecasting and flood control. An effective statistical feature extraction method is proposed in this paper. In this method, a between-class scattering matrix based projection algorithm is performed to maximize between-class differences, obtaining effective component for classification; then high-order statistics are utilized as the features to describe the mainstream line in the principal component obtained. Experiments are performed to verify the applicability of the algorithm. The results both on synthesized and real scenes indicate that this approach could extract the mainstream line of the Yellow River automatically, and has a high precision in mainstream line detection.

Original languageEnglish
Pages (from-to)359-365
Number of pages7
JournalJournal of Electronics
Volume26
Issue number3
DOIs
StatePublished - May 2009

Keywords

  • Between-class scatter matrix
  • High-order statistics
  • Mainstream line
  • Projection
  • Skewness

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