@inproceedings{08942bf7be1e44afb04404646d80d83f,
title = "Subsurface linear unmixing on a controlled underwater enviroment",
abstract = "This paper presents the development and enhancement of a subsurface (underwater) linear unmixing algorithm, called LIGU, specially conceived to determine individual contributions to the measured signal of given spectral reflectance of objects at the bottom of coastal shallow waters. This algorithm is part of a Hyperspectral Coastal Image Analysis Toolbox (HyCIAT), which is a repository of tools to be used to retrieve information from object embedded in a diffusive and murky medium. This paper discusses mathematical formulations behind the subsurface unmixing algorithm LIGU and presents enhancements made to the algorithm. Finally, quantitative and qualitative results will be presented using a hyperspectral data set from a controlled and well known environment. These results provide noticeable quantitative improvement when LIGU is compared with other linear unmixing algorithm not developed for subsurface (underwater) applications.",
keywords = "Estimation, Hyperspectral Data, Inverse Methods, Linear Unmixing, Remote Sensing, Shallow Coastal Waters, Subsurface Sensing",
author = "Emmanuel Carpena-Colon and Jimenez-Rodriguez, \{Luis O.\} and Emmanuel Arzuaga and Miguel Velez-Reyes",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2016 ; Conference date: 21-08-2016 Through 24-08-2016",
year = "2016",
month = jun,
day = "28",
doi = "10.1109/WHISPERS.2016.8071788",
language = "English",
series = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",
publisher = "IEEE Computer Society",
booktitle = "2016 8th Workshop on Hyperspectral Image and Signal Processing",
address = "United States",
}