@article{3df35d7fd52441408aee1105f3996461,
title = "A comparative study for orthogonal subspace projection and constrained energy minimization",
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.",
keywords = "Classification, Constrained energy minimization (CEM), Detection, Hyperspectral imagery, Orthogonal subspace projection (OSP)",
author = "Qian Du and Hsuan Ren and Chang, {Chein I.}",
note = "Funding Information: Manuscript received May 22, 2002; revised April 14, 2003. The work of C.-I Chang was supported by a National Research Council Senior Research Associateship sponsored by the Edgewood Chemical Biological Center, U.S. Army Soldier and Biological Command, and from the TRW Foundation. Q. Du is with the Department of Electrical Engineering and Computer Science, Texas A&M University, Kingsville, TX 78363 USA. H. Ren is with the National Research Council, Washington, DC 20001 USA. C.-I Chang is with the Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD 21250 USA. Digital Object Identifier 10.1109/TGRS.2003.813704",
year = "2003",
month = jun,
doi = "10.1109/TGRS.2003.813704",
language = "???core.languages.en_GB???",
volume = "41",
pages = "1525--1529",
journal = "IEEE Transactions on Geoscience and Remote Sensing",
issn = "0196-2892",
number = "6 PART II",
}