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Ehler, M. ; Hirn, M.*

Sparse endmember extraction and demixing.

In: Geoscience and Remote Sensing Symposium (IGARSS) (2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Munich, 22. - 27. July 2012). Piscataway, NJ: IEEE, 2012. 1385-1388
DOI
A novel algorithm for endmember extraction is presented. The approach follows the linear mixture model for hyperspectral data. Endmembers are identified based on sparsity consideration. Theoretical and experimental results suggest the potential of the method.
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Publikationstyp Artikel: Konferenzbeitrag
Herausgeber Geoscience and Remote Sensing Society Corporation*
ISBN 978-1-4673-1160-1
Konferenztitel 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Munich, 22. - 27. July 2012
Konferenzband Geoscience and Remote Sensing Symposium (IGARSS)
Quellenangaben Band: , Heft: , Seiten: 1385-1388 Artikelnummer: , Supplement: ,
Verlag IEEE
Verlagsort Piscataway, NJ
Institut(e) Institute of Computational Biology (ICB)