J. Zabalza

发表

Prediction of lamb eating quality using hyperspectral imaging

S. Marshall, Tong Qiao, Jinchang Ren, 2015 .

Comparison between near infrared spectroscopy and hyperspectral imaging in predicting beef eating quality

S. Marshall, Tong Qiao, Jinchang Ren, 2014 .

Effective Feature Extraction and Data Reduction in Remote Sensing Using Hyperspectral Imaging [Applications Corner]

Stephen Marshall, Jiangbin Zheng, Jinchang Ren, 2014, IEEE Signal Processing Magazine.

Embedded product authentication codes in additive manufactured parts: Imaging and image processing for improved scan ability.

P. Murray, S. Marshall, J. Zabalza, 2020, Additive manufacturing.

Quantitative Prediction of Beef Quality Using Visible and NIR Spectroscopy with Large Data Samples Under Industry Conditions

Stephen Marshall, Jinchang Ren, Jaime Zabalza, 2015 .

Qiao, T. and Ren, J. and Craigie, C. and Zabalza, J. and Maltin, Ch. and Marshall, S (2015) Quantitative prediction of beef quality using visible and NIR spectroscopy with large data samples under industry

Tong Qiao, Jinchang Ren, J. Zabalza, 2018 .

Adaptive Distance-Based Band Hierarchy (ADBH) for Effective Hyperspectral Band Selection

Genyun Sun, He Sun, Jaime Zabalza, 2020, IEEE Transactions on Cybernetics.

Novel 2D singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging

Jiangbin Zheng, Junwei Han, Huimin Zhao, 2015 .

SpaSSA: Superpixelwise Adaptive SSA for Unsupervised Spatial–Spectral Feature Extraction in Hyperspectral Image

J. Zabalza, X. Jia, Genyun Sun, 2021, IEEE Transactions on Cybernetics.

Qiao, Tong and Ren, Jinchang and Craigie, Cameron and Zabalza, Jaime and Maltin, Charlotte and Marshall, Stephen (2014) Comparison between near infrared spectroscopy and hyperspectral imaging in predicting beef eating quality. In: Hyperspectral Imaging and Applications Conference

S. Marshall, Tong Qiao, Jinchang Ren, 2018 .

Visible hyperspectral imaging for lamb quality prediction

S. Marshall, Tong Qiao, Jinchang Ren, 2015 .

Intelligent characterisation of space objects with hyperspectral imaging

P. Murray, S. Marshall, J. Zabalza, 2022, Acta Astronautica.

Quantitative Prediction of Beef Quality Using Visible and NIR Spectroscopy with Large Data Samples Under Industry Conditions

J. Zabalza, C. Craigie, J. Ren, 2015, Journal of Applied Spectroscopy.

Embedded SVM on TMS320C6713 for signal prediction in classification and regression applications

Jinchang Ren, J. Soraghan, C. Clemente, 2012, 2012 5th European DSP Education and Research Conference (EDERC).

Spatial-spectral classification of hyperspectral images: a deep learning framework with Markov Random fields based modelling

Jinchang Ren, Xiangmin Xu, Jaime Zabalza, 2019, IET Image Process..

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges

Jinchang Ren, Huimin Zhao, Jaime Zabalza, 2019, Sensors.

Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing

Junwei Han, Jun Wang, Stephen Marshall, 2014 .

Complex-valued neural network for hyperspectral single image super resolution

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2023, Photonex.

Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis

Jon Atli Benediktsson, Shutao Li, Stephen Marshall, 2017, IEEE Transactions on Geoscience and Remote Sensing.

A Review of Spatial Enhancement of Hyperspectral Remote Sensing Imaging Techniques

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Novel Two-Dimensional Singular Spectrum Analysis for Effective Feature Extraction and Data Classification in Hyperspectral Imaging

Shutao Li, Stephen Marshall, Jiangbin Zheng, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Tri-CNN: A Three Branch Model for Hyperspectral Image Classification

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2023, Remote. Sens..

Superpixel based Feature Specific Sparse Representation for Spectral-Spatial Classification of Hyperspectral Images

Stephen Marshall, Yijun Yan, He Sun, 2019, Remote. Sens..

Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging

Peijun Du, Stephen Marshall, Zhijing Yang, 2016, Neurocomputing.

SISR of Hyperspectral Remote Sensing Imagery Using 3D Encoder-Decoder RUNet Architecture

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

3D Expansion of SRCNN for Spatial Enhancement of Hyperspectral Remote Sensing Images

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2021, 2021 4th International Conference on Signal Processing and Information Security (ICSPIS).

A Comparative Study of Loss Functions for Hyperspectral SISR

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Folded LDA: Extending the Linear Discriminant Analysis Algorithm for Feature Extraction and Data Reduction in Hyperspectral Remote Sensing

Paul Murray, Jaime Zabalza, Samson Damilola Fabiyi, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

PCA-Domain Fused Singular Spectral Analysis for Fast and Noise-Robust Spectral–Spatial Feature Mining in Hyperspectral Classification

Jaime Zabalza, Qiaoyuan Liu, Jinchang Ren, 2021, IEEE Geoscience and Remote Sensing Letters.

Singular Spectrum Analysis: A Note on Data Processing for Fourier Transform Hyperspectral Imagers

Stephen Marshall, Jinchang Ren, Jaime Zabalza, 2016, Applied spectroscopy.

Feature extraction and data reduction for hyperspectral remote sensing Earth observation

Jaime Zabalza, J. Zabalza, 2015 .

A Novel Spectral-Spatial Singular Spectrum Analysis Technique for Near Real-Time In Situ Feature Extraction in Hyperspectral Imaging

Xiuping Jia, Aizhu Zhang, Genyun Sun, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Fast implementation of two-dimensional singular spectrum analysis for effective data classification in hyperspectral imaging

Jinchang Ren, Huimin Zhao, Genyun Sun, 2017, J. Frankl. Inst..

Structured covariance principal component analysis for real-time onsite feature extraction and dimensionality reduction in hyperspectral imaging.

Zhe Liu, Stephen Marshall, Jinchang Ren, 2014, Applied optics.

Multiscale Superpixelwise Prophet Model for Noise-Robust Feature Extraction in Hyperspectral Images

J. Zabalza, X. Jia, Ping Ma, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Singular spectrum analysis for improving hyperspectral imaging based beef eating quality evaluation

Stephen Marshall, Jinchang Ren, Jaime Zabalza, 2015, Comput. Electron. Agric..

Fast Implementation of Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging

Jun Wang, Stephen Marshall, Jinchang Ren, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Hyperspectral imaging for food applications

Stephen Marshall, Paul Murray, Jaime Zabalza, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

A Novel Intelligent Computational Approach to Model Epidemiological Trends and Assess the Impact of Non-Pharmacological Interventions for COVID-19

Huakang Li, Amir Hussain, Ping Ma, 2020, IEEE Journal of Biomedical and Health Informatics.

Robust PCA micro-doppler classification using SVM on embedded systems

Carmine Clemente, Stephen Marshall, Jinchang Ren, 2014, IEEE Transactions on Aerospace and Electronic Systems.

Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging

S. Marshall, Jinchang Ren, J. Zabalza, 2014, IEEE Geoscience and Remote Sensing Letters.

Hyperspectral imaging through partially transparent media

P. Murray, S. Marshall, J. Zabalza, 2023, Photonex.

Strathprints Institutional Repository Three Publicly Available Data Sets for Hsi Remote Sensing Data Classification Are Used in Our Experiments. Comprehensive Results Using a Support Vector Machine (svm) Classifier Have Quantitatively Evaluated the Efficacy of the Proposed Approach. Benchmarked with

Junwei, Jinchang Ren, J. Zabalza, 2022 .

Fast Implementation of Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging

J. Zabalza, Huimin Zhao, J. Ren, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Strathprints Institutional Repository

J. Zabalza, Yi Zhang, B. Godman, 2013 .

Hyperspectral Imaging Based Detection of PVC During Sellafield Repackaging Procedures

P. Murray, S. Marshall, J. Zabalza, 2023, IEEE Sensors Journal.

Hyperspectral Imaging Based Corrosion Detection in Nuclear Packages

J. Zabalza, Yijun Yan, N. Cockbain, 2023, IEEE Sensors Journal.

'On the fly' dimensionality reduction for hyperspectral image acquisition

Stephen Marshall, Jinchang Ren, Jaime Zabalza, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Singular Spectrum Analysis for effective noise removal and improved data classification in Hyperspectral Imaging

Stephen Marshall, Jinchang Ren, Jaime Zabalza, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

A Novel Intelligent Computational Approach to Model Epidemiological Trends and Assess the Impact of Non-Pharmacological Interventions for COVID-19

Zain U. Hussain, A. Hussain, Jinchang Ren, 2020, IEEE Journal of Biomedical and Health Informatics.

Strathprints Institutional Repository

J. Zabalza, B. Godman, F. Acurcio, 2013 .