Spectral Reflectance Representations for Spectrum Reconstruction, Interpolation and Classification
Cong Phuoc Huynh
NICTA SEMINAR Computer Vision SeminarDATE: 2013-11-14
TIME: 16:00:00 - 17:00:00
LOCATION: Broadcast from CRL Seminar Room, NICTA 7 London CCT . Live Conference Streaming: If you have selected streaming visit http://vmc.aarnet.edu.au nd click on the "Live Now" tab to view your recording being streamed live.
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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 mixture model, PCA and wavelets when applied to represent real-world spectrometer and spectral image data. These representations are important since they open up the possibility of reducing densely sampled spectra to a compact form for spectrum reconstruction, interpolation and classification. In particular, we evaluate the above representations on two datasets consisting of reflectance spectra and hyperspectral images.
BIO:
