DocumentCode
2991635
Title
Relevance spectroscopy: Optimizing interpretation efficiency of hyperspectral, multispectral, and other data when time, bandwidth and/or computing power is limited
Author
McConnell, Robert K.
Author_Institution
WAY-2C Color Machine Vision, Arlington, MA, USA
fYear
2011
fDate
11-12 April 2011
Firstpage
173
Lastpage
177
Abstract
Systematic isolation of the most relevant data can often greatly reduce data acquisition, transmission, storage and computational requirements while accomplishing interpretation objectives.
Keywords
data acquisition; data communication; computational requirements; data acquisition; data storage; data transmission; hyperspectral data; multispectral data; relevance spectroscopy optimizing interpretation efficiency; Entropy; Hyperspectral imaging; Image color analysis; Pixel; Spectroscopy; Training; data compression; data relevance; hyperspectral; image interpretation; imaging spectroscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Technologies for Practical Robot Applications (TePRA), 2011 IEEE Conference on
Conference_Location
Woburn, MA
Print_ISBN
978-1-61284-482-4
Type
conf
DOI
10.1109/TEPRA.2011.5753502
Filename
5753502
Link To Document