@inproceedings{7c3aaaeb93c642459812957d6ea01c33,
title = "Progressive endmember finDing by fully constrained least squares method",
abstract = "Fully constrained least squares (FCLS) method has been widely used in linear spectral mixture analysis (LSMA). This paper presents a progressive endmember growing method by FCLS, to be called Endmember Growing FCLS (EG-FCLS). Its idea is derived from a commonly used endmember finDing algorithm, Simplex Growing Algorithm (SGA) where the criterion of finDing maximal simplex volume is replaced by least squares error unmixed by FCLS.",
author = "Chen, {Shih Yu} and Ouyang, {Yen Chieh} and Chinsu Lin and Chen, {Hsian Min} and Cheng Gao and Chang, {Chein I.}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015 ; Conference date: 02-06-2015 Through 05-06-2015",
year = "2015",
month = jul,
day = "2",
doi = "10.1109/WHISPERS.2015.8075382",
language = "English",
series = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",
publisher = "IEEE Computer Society",
booktitle = "2015 7th Workshop on Hyperspectral Image and Signal Processing",
address = "United States",
}