@inproceedings{bef6276bfe97481e9308b7612f490818,
title = "Hyperspectral blind unmixing and multiple target detection using linear mixture model",
abstract = "In this paper a blind source separation technique Joint Approximate Diagonalization of Eigen-matrices (JADE) is investigated to unmixing and multiple target detection for hyperspectral imagery data. Our targeted minerals are Alunite, Buddingtonite, Calcite and Kaolinite in 'Cuprite' scene data that has been widely used for research experiments in hyperspectral imagery. A comparative study is conducted to show the effectiveness of the JADE with Vertex Component Analysis. The results are evaluated with both full and reduced bands.",
keywords = "Blind unmixing, Hyperspectral imagery (HSI), JADE, Source separation, Target detection",
author = "Qaisar Mushtaq and \{Ul Haq\}, Ihsan and Muhammad Ahmad and Muhammad Sohaib",
year = "2012",
doi = "10.4028/www.scientific.net/AMR.488-489.1224",
language = "English",
isbn = "9783037853825",
series = "Advanced Materials Research",
pages = "1224--1228",
booktitle = "Key Engineering Materials II",
}