On the relationship between spectral unmixing and subspace projection

A linear transformation was recently recommended for application on hyperspectral imagery. This note shows that the method is completely equivalent to extracting proportional ground cover by standard means, but is less efficient than the more usual methods of spectral unmixing.

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Bibliographic Details
Published inIEEE transactions on geoscience and remote sensing Vol. 34; no. 4; pp. 1045 - 1046
Main Author Settle, J.J.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.07.1996
Institute of Electrical and Electronics Engineers
Subjects
Earth sciences
Earth, ocean, space
Exact sciences and technology
Hyperspectral imaging
Internal geophysics
Laboratories
Least squares methods
Libraries
Null space
Pixel
Production
Reflectivity
Signal generators
Solid-earth geophysics, tectonophysics, gravimetry
Vectors
Imagery
Performance
Ground surface
Linear transformation
Remote sensing
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Summary:A linear transformation was recently recommended for application on hyperspectral imagery. This note shows that the method is completely equivalent to extracting proportional ground cover by standard means, but is less efficient than the more usual methods of spectral unmixing.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0196-2892
1558-0644
DOI:10.1109/36.508422