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IGARSS
2010

Spatial preprocessing for endmember extraction using unsupervised clustering and orthogonal subspace projection concepts

8 years 6 months ago
Spatial preprocessing for endmember extraction using unsupervised clustering and orthogonal subspace projection concepts
In this paper, we develop a new spatial preprocessing strategy which can be applied prior to a spectral-based endmember extraction process for unmixing of hyperspectral data. Our proposed approach directs the endmember searching process to regions which are both spectrally pure and spatially homogeneous in the scene. Our experimental results, conducted using simulated hyperspectral data sets with known endmembers and fractional abundances, reveal that the proposed approach can successfully integrate the spatial and spectral information in the search for more relevant endmembers.
Gabriel Martin, Antonio J. Plaza
Added 13 Feb 2011
Updated 13 Feb 2011
Type Journal
Year 2010
Where IGARSS
Authors Gabriel Martin, Antonio J. Plaza
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