Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral images

Linear spectral unmixing is a challenging problem in hyperspectral imaging that consists of decomposing an observed pixel into a linear combination of pure spectra (or endmembers) with their corresponding proportions (or abundances). Endmember extraction algorithms can be employed for recovering the...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 22(2013), 1 vom: 07. Jan., Seite 5-16
1. Verfasser: Eches, Olivier (VerfasserIn)
Weitere Verfasser: Benediktsson, Jón Atli, Dobigeon, Nicolas, Tourneret, Jean-Yves
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2013
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article Research Support, Non-U.S. Gov't