@inproceedings{2d5db372fd254848acda6fd36e7cb693,
title = "Performance analysis of unsupervised unmixing models for thermal hyepsrpectral",
abstract = "Hyperspectral unmixing which consists of decomposing the measured pixel radiance into mixtures of 'pure' spectra whose fractions are referred to as abundances, is a common procedure in the signal and image applications. In this paper, the performance of unsupervised unmixing methods for hyperspectral data is evaluated using airborne thermal data and pixel-based ground truth in-situ. Specifically, the procedures of endmember extraction and mixing using linear and bilinear models are validated using set of pixels whose mixing proportion are known.",
keywords = "bilinear model, endmembers, hyperspectral images, linear model, spectral unmixing",
author = "Michal Shimoni and Xavier Briottet and Manuel Cubero-Castan and Christiaan Perneel and V{\'e}ronique Achard and Jocelyn Chanussot",
year = "2012",
doi = "10.1109/WHISPERS.2012.6874238",
language = "English",
isbn = "9781479934065",
series = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012",
note = "2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012 ; Conference date: 04-06-2012 Through 07-06-2012",
}