@inproceedings{6309eb46af3b42baab436df1906182a2,
title = "Band clustering and selection and decision fusion for target detection in hyperspectral imagery",
abstract = "A band clustering and selection approach based on a hyperspectral measure, spectral information divergence (SID) is presented in this paper. Hyperspectral image data is analyzed for target detection. Hyperspectral image data and spectral signatures of the targets are used to measure the SID. Virtual dimensionality (VD) is used to select optimal number of bands. For endmember extraction, vertex component analysis (VCA) is used. For decision fusion a new approach based on spectral discriminatory entropy (SDE) is proposed. A comparative study is conducted to show the effectiveness of new approach of band clustering and selection. Decision fusion is also compared with full band and individual SID detection schemes.",
keywords = "Band clustering, Bands selection, Decision fusion, Endmember detection, Hyperspectral image, Remote sensing",
author = "Haq, \{Ihsan Ul\} and Xiaojian Xu and Aamir Shahzad",
year = "2009",
doi = "10.1109/ICASSP.2009.4959780",
language = "英语",
isbn = "9781424423545",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "1101--1104",
booktitle = "2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009",
note = "2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 ; Conference date: 19-04-2009 Through 24-04-2009",
}