Performance Evaluation of Classical Classifiers and Deep Learning Approaches for Polymers Classification Based on Hyperspectral Images

[1]  Yan Zheng,et al.  A discrimination model in waste plastics sorting using NIR hyperspectral imaging system. , 2018, Waste management.

[2]  Nader Fathianpour,et al.  Evaluating the performance of the wavelet transform in extracting spectral alteration features from hyperspectral images , 2018 .

[3]  J. Amigo,et al.  NIR Hyperspectral Imaging for Plastics Classification , 2012 .

[4]  Jiang Li,et al.  Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction , 2002, IEEE Trans. Geosci. Remote. Sens..

[5]  Alexander F. H. Goetz,et al.  Three decades of hyperspectral remote sensing of the Earth: a personal view. , 2009 .

[6]  Frans van den Berg,et al.  Review of the most common pre-processing techniques for near-infrared spectra , 2009 .

[7]  Dan Savastru,et al.  Hyperspectral Imaging in the Medical Field: Present and Future , 2014 .

[8]  Raymond Y. K. Lau,et al.  Hyperspectral Image Classification With Deep Learning Models , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Gang Wang,et al.  Deep Learning-Based Classification of Hyperspectral Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[10]  Silvia Serranti,et al.  Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging. , 2018, Waste management.

[11]  Ingrid Daubechies,et al.  The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.

[12]  Steven E. Franklin,et al.  A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery , 2012 .

[13]  Xiuping Jia,et al.  Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Silvia Serranti,et al.  A hierarchical classification approach for recognition of low-density (LDPE) and high-density polyethylene (HDPE) in mixed plastic waste based on short-wave infrared (SWIR) hyperspectral imaging. , 2018, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[15]  R. Leitner,et al.  On-Line Classification of Synthetic Polymers Using near Infrared Spectral Imaging , 2003 .

[16]  Alessandro Mei,et al.  PET and PVC Separation with Hyperspectral Imagery , 2015, Sensors.

[17]  Hamid Saeed Khan,et al.  Modern Trends in Hyperspectral Image Analysis: A Review , 2018, IEEE Access.

[18]  R. Brereton,et al.  Partial least squares discriminant analysis: taking the magic away , 2014 .

[19]  Colm P. O'Donnell,et al.  Hyperspectral imaging – an emerging process analytical tool for food quality and safety control , 2007 .

[20]  Chein-I Chang,et al.  Unsupervised target detection in hyperspectral images using projection pursuit , 2001, IEEE Trans. Geosci. Remote. Sens..

[21]  Silvia Serranti,et al.  Characterization of post-consumer polyolefin wastes by hyperspectral imaging for quality control in recycling processes. , 2011, Waste management.