Referenced Items are not available for this document.
Common endmember extraction algorithms presume that the number of materials present is either known or may be predetermined by using spectral databases or other approaches. In this letter, we propose a new method called genetic orthogonal projection (GOP) for endmember extraction in imaging spectrometry. GOP is based on a fully unsupervised approach and uses convex geometric characteristics as well as a genetic algorithm. We compare GOP with existing endmember extraction algorithms and demonstrate that GOP partially outperforms them, without the need of a priori information.
Published in:
Geoscience and Remote Sensing Letters, IEEE
(Volume:9
,
Issue:
2
)
Date of Publication: March 2012
- Page(s):
- 161 - 165
- ISSN :
- 1545-598X
- INSPEC Accession Number:
- 12509191
- Digital Object Identifier :
- 10.1109/LGRS.2011.2162936
- Product Type:
- Journals & Magazines
- Date of Publication :
- 01 September 2011
- Date of Current Version :
- 02 February 2012
- Issue Date :
- March 2012
- Sponsored by :
- IEEE Geoscience and Remote Sensing Society
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