A gradient based method for fully constrained least-squares unmixing of hyperspectral images. Chen, J., Richard, C., Lantéri, H., Theys, C., & Honeine, P. In Statistical Signal Processing Workshop (SSP), 2011 IEEE, pages 301-304, 2011. IEEE.
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Paper bibtex
Paper bibtex @inproceedings{chen2011gradient,
author = {Chen, Jie and Richard, Cédric and Lantéri, Henri and Theys, Céline and Honeine, Paul},
booktitle = {Statistical Signal Processing Workshop (SSP), 2011 IEEE},
date-modified = {2022-04-07 16:34:39 +0200},
keywords = {hyperspectral data unmixing},
organization = {IEEE},
pages = {301-304},
title = {A gradient based method for fully constrained least-squares unmixing of hyperspectral images},
url_paper = {Articles/chen2011gradient.pdf},
year = {2011}}Downloads: 0
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