| Title | Automatic Endmember Extraction from Hyperspectral Data for Mineral Exploration |
| Download | Downloads (Preprint) |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Neville, R A; Staenz, K; Szeredi, T; Lefebvre, J; Hauff, P |
| Source | Fourth International Airborne Remote Sensing Conference and Exhibition / 21st Canadian Symposium on Remote Sensing, Ottawa, Ontario, Canada, 21-24 June; 1999., https://doi.org/10.4095/219526  Open Access |
| Year | 1999 |
| Alt Series | Earth Sciences Sector, Contribution Series 20042724 |
| Document | book |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Released | 1999 01 01 |
| Abstract | Linear 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. |
| GEOSCAN ID | 219526 |
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