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 SeQu...Show MoreMetadata
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.
Published in: 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
Date of Conference: 02-05 June 2015
Date Added to IEEE Xplore: 23 October 2017
ISBN Information:
Electronic ISSN: 2158-6276
Contents 