DocumentCode
410335
Title
ORASIS framework - benefits to working within the linear mixing model
Author
Bowles, Jeffrey ; Chen, Wei ; Gillis, David
Author_Institution
Remote Sensing Div., Naval Res. Lab., Washington, DC, USA
Volume
1
fYear
2003
fDate
21-25 July 2003
Firstpage
96
Abstract
The Optical Real-time Adaptive Spectral Identification System (ORASIS) continues to be developed by the Naval Research Laboratory. Recently, a new method to perform target identification based on Spectral Angle Mapper (SAM) has been demonstrated. When projected into a reduced dimension space, angles between spectra are not conserved. Proper determination of the dimensions and their coordinates of the subspace can result in maximizing the angles between a spectrum of interest and the general background. This approach can be used for target identification where the "target" can be a rare spectrum or something found in the general background. In addition, new methods to compress hyperspectral data using the ORASIS in combination with wavelets have been demonstrated. Variations on this approach continue to be worked on and will be discussed. Recent improvements to these methods as well as new directions being pursued will be discussed.
Keywords
data compression; geophysical signal processing; geophysical techniques; spectral analysis; Naval Research Laboratory; ORASIS framework; data compression; hyperspectral data; linear mixing model; optical real-time adaptive spectral identification system; reduced dimension space; spectral angle mapper; target identification; Adaptive optics; Hyperspectral imaging; Hyperspectral sensors; Image coding; Laboratories; Layout; Optical mixing; Principal component analysis; Remote sensing; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1293690
Filename
1293690
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