A posteriori least squares orthogonal subspace projection approach to desired signature extraction and detection

One of the primary goals of imaging spectrometry in Earth remote sensing applications is to determine identities and abundances of surface materials. In a recent study, an orthogonal subspace projection (OSP) was proposed for image classification. However, it was developed for an a priori linear spe...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 1997-01, Vol.35 (1), p.127-139
Hauptverfasser:	TU, T.-M, CHEN, C.-H, CHANG, C.-I
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied geophysics Detectors Earth Earth sciences Earth, ocean, space Exact sciences and technology Hyperspectral imaging Hyperspectral sensors Image analysis Internal geophysics Layout Least squares methods Multispectral imaging Remote sensing Soils Spectroscopy Surficial geology
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