An efficient algorithm for endmember selection is illustrated. Endmembers are estimated by an unsupervised segmentation procedure based on spectral analysis. Preliminary results obtained on experimental data are presented and discussed.

An unsupervised algorithm for the selection of the endmembers in hyperspectral images

Acito N;CORSINI, GIOVANNI;DIANI, MARCO
2002-01-01

Abstract

An efficient algorithm for endmember selection is illustrated. Endmembers are estimated by an unsupervised segmentation procedure based on spectral analysis. Preliminary results obtained on experimental data are presented and discussed.
2002
078037536X
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/74619
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