NDLI: Hyperspectral band selection based on the incremental n-dimensional solid spectral angle

Content Provider	IEEE Xplore Digital Library
Author	Zhao, Chunhui Tian, Minghua Qi, Bin
Copyright Year	2015
Description	Author affiliation: College of Information and Communication, Harbin Engineering University, Harbin, China (Zhao, Chunhui; Tian, Minghua; Qi, Bin)
Abstract	An incremental n-dimensional solid spectral angle based band selection method is proposed in this paper, denoted as the INSSA-BS method, for hyperspectral dimension reduction. Inspired by the commonly used spectral angle mapper (SAM) method which measures the difference between two spectra through calculating the cosine value of the angle, we present a n-dimensional solid spectral angle (NSSA) method. The proposed NSSA method is not constrained by the number of input spectra vectors as well as the number of bands. It measures the high dimensional virtual solid spectral angle constituted by a set of interested spectral vectors quantitatively. A higher NSSA value indicates a more dramatic spectral profile difference. According to this character, this paper aims at searching out a suboptimal band set which constitutes the NSSA value as large as possible. Thus, an incrementation coefficient is derived to appraise the contribution of the current band to the total NSSA value, forwardly. The bands which enlarge the NSSA value are selected. Experiment results prove that the proposed INSSA-BS method has the capacity of retaining spectra profile features and enhancing the separability between either inter and intra spectra. Furthermore, as opposite to full bands unmixing, the unmixing errors using bands selected by INSSA-BS method decrease significantly.
Starting Page	765
Ending Page	770
File Size	308012
Page Count	6
File Format	PDF
e-ISBN	9781467390989
DOI	10.1109/CISP.2015.7407980
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	hyperspectral unmixing Absorption Current measurement incrementation coefficient spectra profile features Signal processing Solids Feature extraction spectral angle mapper Libraries n-dimensional solid spectral angle Hyperspectral imaging band selection
Content Type	Text
Resource Type	Article

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