A comparative study for orthogonal subspace projection and constrained energy minimization

Qian Du, Hsuan Ren, Chein I. Chang

Research output: Contribution to journalArticlepeer-review

117 Scopus citations

Abstract

In this letter, we conduct a comparative study and investigate the relationship between two well-known techniques in hyperspectral image detection and classification: orthogonal subspace projection (OSP) and constrained energy minimization (CEM). It is shown that they are closely related and essentially equivalent provided that the noise is white with large SNR. Based on this relationship, the performance of OSP can be improved via data-whitening and noise-whitening processes.

Original languageEnglish
Pages (from-to)1525-1529
Number of pages5
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume41
Issue number6 PART II
DOIs
StatePublished - Jun 2003

Keywords

  • Classification
  • Constrained energy minimization (CEM)
  • Detection
  • Hyperspectral imagery
  • Orthogonal subspace projection (OSP)

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