Fast unsupervised technique for extraction of endmembers spectra from hyperspectral data

Nascimento, Jose; Bioucas-Dias, José M.

http://hdl.handle.net/10400.21/6095

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
Fast Unsupervised Technique for Extraction of Endmembers Spectra from Hyperspectral Data.pdf		294.29 KB	Adobe PDF	Download

Send Feedback

Authors

Nascimento, Jose

Bioucas-Dias, José M.

Abstract(s)

One of the most challenging task underlying many hyperspectral imagery applications is the linear unmixing. The key to linear unmixing is to find the set of reference substances, also called endmembers, that are representative of a given scene. This paper presents the vertex component analysis (VCA) a new method to unmix linear mixtures of hyperspectral sources. The algorithm is unsupervised and exploits a simple geometric fact: endmembers are vertices of a simplex. The algorithm complexity, measured in floating points operations, is O (n), where n is the sample size. The effectiveness of the proposed scheme is illustrated using simulated data.

Keywords

Extraction of endmembers spectra Hyperspectral data

URI

http://hdl.handle.net/10400.21/6095

Citation

NASCIMENTO, José M. P.; BIOUCAS-DIAS, José M. - Fast unsupervised extraction of endmembers spectra from hyperspectral data. Fourth Conference on Telecommunications - SPIE - The International Society for Optical Engineering. ISSN 0277-788X. 537-540, 2003