Deep learning for classification of time series spectral images using combined multi-temporal and spectral features
Open Access
- 23 November 2020
- journal article
- research article
- Published by Elsevier BV in Analytica Chimica Acta
- Vol. 1143, 9-20
- https://doi.org/10.1016/j.aca.2020.11.018
Abstract
No abstract availableKeywords
Funding Information
- European Research Council
- Science Foundation Ireland
This publication has 29 references indexed in Scilit:
- Tutorial: Time Series Hyperspectral Image AnalysisJournal of Near Infrared Spectroscopy, 2016
- Efficient integration of particle analysis in hyperspectral imaging for rapid assessment of oxidative degradation in salmon filletJournal of Food Engineering, 2016
- Deep Convolutional Neural Networks for Hyperspectral Image ClassificationJournal of Sensors, 2015
- Characterisation of hydrogen bond perturbations in aqueous systems using aquaphotomics and multivariate curve resolution-alternating least squaresAnalytica Chimica Acta, 2013
- Time series hyperspectral chemical imaging data: Challenges, solutions and applicationsAnalytica Chimica Acta, 2011
- Preventing over‐fitting in PLS calibration models of near‐infrared (NIR) spectroscopy data using regression coefficientsJournal of Chemometrics, 2010
- Use of near Infrared Hyperspectral Imaging to Identify Water Matrix Co-Ordinates in Mushrooms (Agaricus Bisporus) Subjected to Mechanical VibrationJournal of Near Infrared Spectroscopy, 2009
- Framewise phoneme classification with bidirectional LSTM and other neural network architecturesNeural Networks, 2005
- Near Infrared Spectroscopy and Chemometrics Studies of Temperature-Dependent Spectral Variations of Water: Relationship between Spectral Changes and Hydrogen BondsJournal of Near Infrared Spectroscopy, 1995
- A Learning Algorithm for Continually Running Fully Recurrent Neural NetworksNeural Computation, 1989