Title :
ICE: a statistical approach to identifying endmembers in hyperspectral images
Author :
Berman, Mark ; Kiiveri, Harri ; Lagerstrom, Ryan ; Ernst, Andreas ; Dunne, Rob ; Huntington, Jonathan F.
Author_Institution :
Macquarie Univ. Campus, North Ryde, NSW, Australia
Abstract :
Several of the more important endmember-finding algorithms for hyperspectral data are discussed and some of their shortcomings highlighted. A new algorithm - iterated constrained endmembers (ICE) - which attempts to address these shortcomings is introduced. An example of its use is given. There is also a discussion of the advantages and disadvantages of normalizing spectra before the application of ICE or other endmember-finding algorithms.
Keywords :
data acquisition; geophysical signal processing; geophysical techniques; image processing; minerals; remote sensing; spectral analysis; statistical analysis; ICE; convex geometry; endmember identification; endmember-finding algorithms; hyperspectral data; hyperspectral images; iterated constrained endmembers; spectra normalization; statistical approach; Australia; Brightness; Hyperspectral imaging; Ice; Layout; Minerals; Noise shaping; Packaging; Solid modeling; Spectral shape; Convex geometry; endmember; hyperspectral; normalization; simplex;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2004.835299
