Noise reduction in the spectral domain of hyperspectral images using denoising autoencoder methods

Denoising of spectra has been a great challenge in hyperspectral image analysis. Near-infrared hyperspectral images of milk powder, rice flour and soybean flour were acquired and denoising in the spectral domain were studied. Noise free spectra and noises were simulated based on sample pixel-wise sp...

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Bibliographic Details

Published in:	Chemometrics and intelligent laboratory systems Vol. 203; p. 104063
Main Authors:	Zhang, Chu, Zhou, Lei, Zhao, Yiying, Zhu, Susu, Liu, Fei, He, Yong
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.08.2020
Subjects:	Denoising autoencoder Empirical mode decomposition Hyperspectral image Noise reduction Spectra simulation Wavelet transform Denoising autoencoder Empirical mode decomposition Wavelet transform Hyperspectral image Spectra simulation Noise reduction
ISSN:	0169-7439, 1873-3239
Online Access:	Get full text
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