NDLI: Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations

Content Provider	IET Digital Library
Author	Gan, Yuquan Hu, Bingliang Liu, Weihua Wang, Shuang Zhang, Geng Feng, Xiangpeng Wen, Desheng
Abstract	Hyperspectral images are mixtures of spectra of materials in a scene. Accurate analysis of hyperspectral image requires spectral unmixing. The result of spectral unmixing is the material spectral signatures and their corresponding fractions. The materials are called endmembers. Endmember extraction equals to acquire spectral signatures of the materials. In this study, the authors propose a new hyperspectral endmember extraction algorithm for hyperspectral image based on QR factorisation using Givens rotations (EEGR). Evaluation of the algorithm is demonstrated by comparing its performance with two popular endmember extraction methods, which are vertex component analysis (VCA) and maximum volume by householder transformation (MVHT). Both simulated mixtures and real hyperspectral image are applied to the three algorithms, and the quantitative analysis of them is presented. EEGR exhibits better performance than VCA and MVHT. Moreover, EEGR algorithm is convenient to implement parallel computing for real-time applications based on the hardware features of Givens rotations.
Starting Page	332
Ending Page	343
Page Count	12
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 2, Feb (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5079
Journal	IET Image Processing
Publisher Date	2018-09-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Earth Sciences EEGR Feature Extraction Geophysical Image Processing Geophysics Computing Givens Rotations Hardware Feature Hyperspectral Endmember Extraction Algorithm Hyperspectral Image Hyperspectral Imagery Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Material Spectral Signatures Maximum Volume by Householder Transformation MVHT Optical, Image And Video Signal Processing Popular Endmember Extraction Method QR Factorisation Spectral Analysis Spectral Unmixing VCA Vertex Component Analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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