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Automatic Endmember Extraction from Hyperspectral Data for Mineral Exploration
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.
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Cited by
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
Bioucas-Dias, J. M., Plaza, A., Dobigeon, N., Parente, M., Du, Q., Gader, P., & Chanussot, J. (2012) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2012.2194696 · Cited by 2,836
Hyperspectral remote sensing data analysis and future challenges
Bioucas-Dias, J. M., Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N., & Chanussot, J. (2013) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2013.2244672 · Cited by 2,223
Metadata
- Authors
- Neville, R. A., Staenz, K., Szeredi, T., Lefebvre, J., & Hauff, P.
- Published
- 1999
- OpenAlex
- W3139499394
- Cited by
- 255
- References
- 0
- Type
- report
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Automatic Endmember Extraction from Hyperspectral Data for Mineral Exploration. https://app.cochat.ai/papers/10.4095/219526
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- Neville, R. A., Staenz, K., Szeredi, T., Lefebvre, J., & Hauff, P. (1999). Automatic Endmember Extraction from Hyperspectral Data for Mineral Exploration. https://doi.org/10.4095/219526
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