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
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;
Conference_Titel :
Technologies for Practical Robot Applications (TePRA), 2011 IEEE Conference on
Conference_Location :
Woburn, MA
Print_ISBN :
978-1-61284-482-4
DOI :
10.1109/TEPRA.2011.5753502
