@inproceedings{088505e7efc94bbd8c77e955dcf42225,
title = "Fully abundance-constrained endmember finDing for hyperspectral images",
abstract = "Fully constrained least squares (FCLS) method has been widely used in linear spectral mixture analysis (LSMA). This paper presents two versions of FCLS, to be called SeQuential FCLS (SQ-FCLS) and SuCcessive FCLS (SC-FCLS) to find endmembers. In order to address random issues in initial conditions, two versions of FCLS, Iterative FCLS (I-FLCS) and Random FCLS (RFCLS) are also developed.",
author = "Cheng Gao and Chen, {Shih Yu} and Chen, {Hsian Min} and Wu, {Chao Cheng} and Wen, {Chia Hsien} 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.2015.8075441",
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",
}