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TitleAutomatic Endmember Extraction from Hyperspectral Data for Mineral Exploration
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorNeville, R A; Staenz, K; Szeredi, T; Lefebvre, J; Hauff, P
SourceFourth International Airborne Remote Sensing Conference and Exhibition / 21st Canadian Symposium on Remote Sensing, Ottawa, Ontario, Canada, 21-24 June; 1999., Open Access logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20042724
Mediapaper; on-line; digital
File formatpdf
Released1999 01 01
AbstractLinear unmixing is a commonly used technique for the analysis of imaging spectrometer data. This procedure requires the use of 'endmember' spectra which represent pure target species. One of the methods under investigation at Canada Centre for Remote Sensing for the automatic extraction of endmembers from the image cube, is called the 'Iterative Error Analysis', (IEA) method. This procedure is described, and the results of its application to a data set acquired over Nevada are presented.

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