A comparative evaluation of spectral reflectance representations for spectrum reconstruction, interpolation and classification

Date

Authors

Huynh, Cong

Robles-Kelly, Antonio

Publisher

IEEE

Abstract

Due to the high dimensionality of spectral data, spectrum representation techniques have often concentrated on modelling the spectra as a linear combination of a small basis set. Here, we focus on the evaluation of a B-Spline representation, a Gaussian mi

Keywords

Keywords: B splines; Gaussian mixtures; Hyperspectral Imaging; Multispectral imaging; PCA; Spectral reflectances; Spectrum reconstruction; Spectrum representation; wavelets; Image segmentation; Pattern recognition; Reflection; Spectroscopy; Interpolation B-Splines; Gaussian Mixture; hyperspectral imaging; multispectral imaging; PCA; spectral reflectance; spectrum classification; spectrum interpolation; spectrum reconstruction; spectrum representation; wavelets

URI

http://hdl.handle.net/1885/81174

Collections

ANU Research Publications

Source

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Type

Conference paper

DOI

10.1109/CVPRW.2013.56

Restricted until

2037-12-31

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File

Description

01_Huynh_A_comparative_evaluation_of_2013.pdf (574.58 KB)