Jaime Zabalza

Search results

• 2021

  3D expansion of SRCNN for spatial enhancement of hyperspectral remote sensing images

  Aburaed, N., Alkhatib, M. Q., Marshall, S., Zabalza, J. & Al Ahmad, H., 27 Dec 2021, 2021 4th International Conference on Signal Processing and Information Security, ICSPIS 2021. New York. N.Y., p. 9-12 4 p. (2021 4th International Conference on Signal Processing and Information Security, ICSPIS 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Spectral resolution 100%
  • Optical resolving power 90%
  • Remote sensing 71%
  • Convolutional neural networks 62%
  • Signal to noise ratio 56%
  1 Downloads (Pure)

• Folded LDA: extending the linear discriminant analysis algorithm for feature extraction and data reduction in hyperspectral remote sensing

  Fabiyi, S. D., Murray, P., Zabalza, J. & Ren, J., 23 Nov 2021, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing . 14, p. 12312-12331 20 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Data reduction 100%
  • Discriminant analysis 91%
  • discriminant analysis 91%
  • Remote sensing 88%
  • Feature extraction 65%
  6 Downloads (Pure)

• PCA-domain fused singular spectral analysis for fast and noise-robust spectral-spatial feature mining in hyperspectral classification

  Yan, Y., Ren, J., Liu, Q., Zhao, H., Sun, H. & Zabalza, J., 19 Oct 2021, (E-pub ahead of print) In: IEEE Geoscience and Remote Sensing Letters. 5 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Spectrum analysis 100%
  • spectral analysis 91%
  • Principal component analysis 91%
  • principal component analysis 82%
  • Absorption spectra 20%
  3 Downloads (Pure)

• SpaSSA: superpixelwise adaptive SSA for unsupervised spatial-spectral feature extraction in hyperspectral image

  Sun, G., Fu, H., Ren, J., Zhang, A., Zabalza, J., Jia, X. & Zhao, H., 9 Sep 2021, In: IEEE Transactions on Cybernetics. 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Spectrum analysis 100%
  • Feature extraction 74%
  • Superpixels 35%
  • Computational complexity 14%
  • Principal component analysis 8%
  1 Downloads (Pure)
• 2020

  2D-SSA based multiscale feature fusion for feature extraction and data classification in hyperspectral imagery

  Fu, H., Sun, G., Ren, J., Zabalza, J., Zhang, A. & Yao, Y., 26 Sep 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Piscataway, N.J.: IEEE, p. 76-79 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Spectrum analysis 100%
  • Fusion reactions 78%
  • Feature extraction 74%
  • Principal component analysis 54%
  • Hyperspectral imaging 28%
  6 Downloads (Pure)

• Adaptive distance-based band hierarchy (ADBH) for effective hyperspectral band selection

  Sun, H., Ren, J., Zhao, H., Sun, G., Liao, W., Fang, Z. & Zabalza, J., 24 Mar 2020, (E-pub ahead of print) In: IEEE Transactions on Cybernetics. 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Data structures 100%
  • Image processing 47%
  • Experiments 21%
  68 Downloads (Pure)

• A novel intelligent computational approach to model epidemiological trends and assess the impact of non-pharmacological interventions for COVID-19

  Ren, J., Yan, Y., Zhao, H., Ma, P., Zabalza, J., Hussain, Z., Luo, S., Dai, Q., Zhao, S., Sheikh, A. & Hussain, A., 31 Dec 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 12, p. 3551-3563 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Coronavirus 100%
  • Pandemics 84%
  • Spectrum analysis 30%
  • Republic of Korea 18%
  • Normal Distribution 18%
  2 Citations (Scopus)

  10 Downloads (Pure)

• A novel spectral-spatial singular spectrum analysis technique for near real-time in-situ feature extraction in hyperspectral imaging

  Fu, H., Sun, G., Zabalza, J., Zhang, A., Ren, J. & Jia, X., 14 May 2020, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing . 13, p. 2214-2225 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Hyperspectral imaging 100%
  • Spectrum analysis 69%
  • spectral analysis 63%
  • Feature extraction 51%
  • pixel 44%
  2 Citations (Scopus)

  2 Downloads (Pure)

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

  Chen, F., Zabalza, J., Murray, P., Marshall, S., Yu, J. & Gupta, N., 7 May 2020, (Accepted/In press) In: Additive Manufacturing. 17 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Titanium Alloy 100%
  • Aluminium Alloy 89%
  • Implant 80%
  • Tomography 78%
  • Filtration 70%
  19 Downloads (Pure)
• 2019

  EEG-based brain-computer interfaces using motor-imagery: techniques and challenges

  Padfield, N., Zabalza, J., Zhao, H., Vargas, V. M. & Ren, J., 22 Mar 2019, In: Sensors. 19, 6, 36 p., 1423.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  File

  • Brain-Computer Interfaces 100%
  • electroencephalography 91%
  • imagery 90%
  • Brain computer interface 84%
  • Electroencephalography 70%
  113 Citations (Scopus)

  47 Downloads (Pure)

• Low cost structured-light based 3D surface reconstruction

  Yan, Y., Assaad, M., Zabalza, J., Ren, J. & Zhao, H., 23 Apr 2019, In: International Journal on Smart Sensing and Intelligent Systems. 12, 1, 11 p., 2.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Surface reconstruction 100%
  • Lasers 38%
  • Costs 29%
  • Triangulation 28%
  • Quality control 24%
  18 Downloads (Pure)

• Smart sensing and adaptive reasoning for enabling industrial robots with interactive human-robot capabilities in dynamic environments - a case study

  Zabalza, J., Fei, Z., Wong, C., Yan, Y., Mineo, C., Yang, E., Rodden, T., Mehnen, J., Pham, Q. C. & Ren, J., 18 Mar 2019, In: Sensors. 19, 6, 23 p., 1354.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • robots 100%
  • Industrial robots 90%
  • Robotics 85%
  • Reaction Time 77%
  • Planning Techniques 58%
  7 Citations (Scopus)

  15 Downloads (Pure)

• Spatial-spectral classification of hyperspectral images: a deep learning framework with Markov random fields based modeling

  Qing, C., Ruan, J., Xu, X., Ren, J. & Zabalza, J., 25 Feb 2019, In: IET Image Processing. 13, 2, p. 235-245 11 p.

  Research output: Contribution to journal › Special issue › peer-review

  Open Access

  File

  • Convolutional neural networks 100%
  • Deep learning 98%
  • Probability distributions 51%
  • Logistics 24%
  • Pixels 20%
  14 Citations (Scopus)

  25 Downloads (Pure)

• Superpixel based feature specific sparse representation for spectral-spatial classification of hyperspectral images

  Sun, H., Ren, J., Zhao, H., Yan, Y., Zabalza, J. & Marshall, S., 5 Mar 2019, In: Remote Sensing. 11, 5, 17 p., 536.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Superpixels 100%
  • pixel 19%
  • Pixels 18%
  • image classification 13%
  • Image classification 13%
  20 Citations (Scopus)

  23 Downloads (Pure)
• 2018

  Cognitive seismic data modelling based successive differential evolution algorithm for effective exploration of oil-gas reservoirs

  Zhao, J., Ren, J., Zabalza, J., Gao, J., Xu, X. & Xie, G., 14 Aug 2018, (Accepted/In press) In: Journal of Petroleum Science and Engineering.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Gas oils 100%
  • vertical seismic profile 95%
  • gas reservoir 91%
  • Data structures 76%
  • seismic data 74%
  6 Downloads (Pure)

• Hyperspectral band selection using crossover based gravitational search algorithm

  Zabalza, J., Zhang, A., Ma, P., Liu, S., Sun, G., Huang, H., Wang, Z. & Lin, C., 17 Aug 2018, (E-pub ahead of print) In: IET Image Processing.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Set theory 100%
  • Dimensionality reduction 56%
  • Transfer functions 46%
  • Particle swarm optimization (PSO) 43%
  • Experiments 18%
  10 Citations (Scopus)

  32 Downloads (Pure)

• Joint kernelized sparse representation classification for hyperspectral imagery

  Sun, H., Ren, J., Yan, Y., Zabalza, J. & Marshall, S., 10 Oct 2018. 2 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Pixels 100%
  • Labels 45%
  • Military applications 31%
  • Image classification 28%
  • Random forests 28%
  27 Downloads (Pure)

• Making industrial robots smarter with adaptive reasoning and autonomous thinking for real-time tasks in dynamic environments: a case study

  Zabalza, J., Fei, Z., Wong, C., Yan, Y., Mineo, C., Yang, E., Rodden, T., Mehnen, J., Pham, Q-C. & Ren, J., 7 Jul 2018, p. 1-10. 10 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Industrial robots 100%
  • Robots 57%
  • Cameras 42%
  • Real time systems 29%
  • Motion planning 28%
  2 Citations (Scopus)

  37 Downloads (Pure)

• Segmented autoencoders for unsupervised embedded hyperspectral band selection

  Tschannerl, J., Ren, J., Zabalza, J. & Marshall, S., 26 Nov 2018. 6 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Hyperspectral imaging 100%
  • Remote sensing 23%
  • Deep learning 20%
  • Wavelength 19%
  • Costs 8%
  79 Downloads (Pure)

• Spectral and spatial kernel extreme learning machine for hyperspectral image classification

  Yang, Z., Cao, F., Zabalza, J., Chen, W. & Cao, J., 6 Oct 2018, Advances in Brain Inspired Cognitive Systems. BICS 2018. Hussain, A., Luo, B., Zheng, J., Zhao, X., Liu, C-L., Ren, J. & Zhao, H. (eds.). Cham, Switzerland: Springer-Verlag, p. 394-401 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10989).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Extreme Learning Machine 100%
  • Hyperspectral Image 88%
  • Image Classification 86%
  • Image classification 56%
  • Machine learning 38%
  2 Citations (Scopus)
• 2017

  Effective denoising and classification of hyperspectral images using curvelet transform and singular spectrum analysis

  Qiao, T., Ren, J., Wang, Z., Zabalza, J., Sun, M., Zhao, H., Li, S., Benediktsson, J. A., Dai, Q. & Marshall, S., 4 Jan 2017, In: IEEE Transactions on Geoscience and Remote Sensing. 55, 1, p. 119-133 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Spectrum analysis 100%
  • Hyperspectral imaging 96%
  • spectral analysis 91%
  • transform 75%
  • Feature extraction 74%
  81 Citations (Scopus)

  241 Downloads (Pure)

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

  Zabalza, J., Qing, C., Yuen, P., Sun, G., Zhao, H. & Ren, J., 12 May 2017, (E-pub ahead of print) In: Journal of the Franklin Institute. 19 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Hyperspectral Imaging 100%
  • Singular Spectrum Analysis 95%
  • Data Classification 82%
  • Hyperspectral imaging 82%
  • Spectrum analysis 56%
  8 Citations (Scopus)

  24 Downloads (Pure)

• Singular spectrum analysis for effective noise removal and improved data classification in hyperspectral imaging

  Zabalza, J., Ren, J. & Marshall, S., 26 Oct 2017, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). Piscataway, NJ: IEEE, 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Hyperspectral imaging 100%
  • Spectrum analysis 69%
  • Time series analysis 27%
  • Remote sensing 23%
  • Singular value decomposition 23%
  2 Citations (Scopus)

  12 Downloads (Pure)
• 2016

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

  Zabalza, J., Ren, J., Zheng, J., Zhao, H., Qing, C., Yang, Z., Du, P. & Marshall, S., 12 Apr 2016, In: Neurocomputing. 185, p. 1-10 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Hyperspectral imaging 100%
  • Deep Learning 93%
  • Data reduction 79%
  • Dimensionality reduction 73%
  • Data Accuracy 71%
  197 Citations (Scopus)

  240 Downloads (Pure)

• Singular spectrum analysis: a note on data processing for Fourier transform hyperspectral imagers

  Rafert, J. B., Zabalza, J., Marshall, S. & Ren, J., 2 Feb 2016, (Accepted/In press) In: Applied Spectroscopy. 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Image sensors 100%
  • Spectrum analysis 97%
  • Fourier transforms 93%
  • spectrum analysis 91%
  • interferometry 80%
  243 Downloads (Pure)
• 2015

  Fast implementation of singular spectrum analysis for effective feature extraction in hyperspectral imaging

  Zabalza, J., Ren, J., Wang, Z., Zhao, H., Wang, J. & Marshall, S., Jun 2015, In: IEEE Journal of Selected Topics in Earth Observation and Remote Sensing. 8, 6, p. 2845-2853 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • singular value decomposition 100%
  • spectral analysis 97%
  • pixel 81%
  • time series analysis 22%
  • support vector machine 20%
  22 Citations (Scopus)

  267 Downloads (Pure)

• Hyperspectral imaging for food applications

  Marshall, S., Kelman, T., Qiao, T., Murray, P. & Zabalza, J., 1 Sep 2015, p. 2854 - 2858. 5 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Hyperspectral imaging 100%
  • Food Quality 94%
  • food quality 69%
  • Food Analysis 67%
  • image analysis 56%
  18 Citations (Scopus)

  89 Downloads (Pure)

• Novel two dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging

  Zabalza, J., Ren, J., Zheng, J., Han, J., Zhao, H., Li, S. & Marshall, S., 31 Aug 2015, In: IEEE Transactions on Geoscience and Remote Sensing. 53, 8, p. 4418-4433 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Hyperspectral imaging 100%
  • Spectrum analysis 69%
  • spectral analysis 63%
  • Feature extraction 51%
  • Decomposition 20%
  96 Citations (Scopus)

  357 Downloads (Pure)

• 'On the fly' dimensionality reduction for hyperspectral image acquisition

  Zabalza, J., Ren, J. & Marshall, S., 1 Sep 2015, p. 749 - 753. 5 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Hyperspectral imaging 100%
  • Image acquisition 77%
  • Dimensionality reduction 73%
  • Covariance matrix 34%
  • Principal component analysis 15%
  1 Citation (Scopus)

  36 Downloads (Pure)

• Prediction of lamb eating quality using hyperspectral imaging

  Qiao, T., Ren, J., Zabalza, J. & Marshall, S., 15 Mar 2015, OCM (Optical Characterization of Materials) 2015: 2nd International Conference on Optical Characterization of Materials. Beyerer, J., Puente León, F. & Längle, T. (eds.). Karlsruhe, Germany, p. 15-25 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • eating 100%
  • Hyperspectral imaging 87%
  • predictions 31%
  • Support vector machines 18%
  • Beef 17%
  188 Downloads (Pure)

• Quantitative prediction of beef quality using visible and NIR spectroscopy with large data samples under industry conditions

  Qiao, T., Ren, J., Craigie, C., Zabalza, J., Maltin, C. & Marshall, S., Mar 2015, In: Journal of Applied Spectroscopy. 82, 1

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • NIR Spectroscopy 100%
  • industries 82%
  • Industry 72%
  • eating 55%
  • predictions 52%
  40 Citations (Scopus)

  59 Downloads (Pure)

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

  Qiao, T., Ren, J., Craigie, C., Zabalza, J., Maltin, C. & Marshall, S., Jul 2015, In: Computers and Electronics in Agriculture. 115, p. 21-25 5 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Beef 100%
  • Hyperspectral imaging 97%
  • hyperspectral imagery 95%
  • Spectrum analysis 67%
  • spectral analysis 62%
  34 Citations (Scopus)

  99 Downloads (Pure)

• Visible hyperspectral imaging for lamb quality prediction

  Qiao, T., Ren, J., Yang, Z., Qing, C., Zabalza, J. & Marshall, S., 28 Dec 2015, In: Technisches Messen. 82, 12, p. 643-652 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Hyperspectral imaging 100%
  • eating 38%
  • predictions 36%
  • Imaging systems 23%
  • industries 18%
  3 Citations (Scopus)

  6 Downloads (Pure)
• 2014

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

  Qiao, T., Ren, J., Craigie, C., Zabalza, J., Maltin, C. & Marshall, S., Oct 2014. 2 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Beef 100%
  • Hyperspectral imaging 97%
  • Near infrared spectroscopy 90%
  • juiciness 80%
  • Red Meat 79%
  263 Downloads (Pure)

• Effective feature extraction and data reduction with hyperspectral imaging in remote sensing

  Ren, J., Zabalza, J., Marshall, S. & Zheng, J., Jul 2014, In: IEEE Signal Processing Magazine. 31, 4, p. 149-154 6 p.

  Research output: Contribution to journal › Special issue › peer-review

  File

  • Hyperspectral Imaging 100%
  • Remote Sensing 83%
  • Feature Extraction 82%
  • Hyperspectral imaging 82%
  • Data Reduction 76%
  94 Citations (Scopus)

  251 Downloads (Pure)

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

  Zabalza, J., Ren, J., Yang, M., Zhang, Y., Wang, J., Marshall, S. & Han, J., Jul 2014, In: ISPRS Journal of Photogrammetry and Remote Sensing. 93, p. 112-122 11 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Hyperspectral imaging 100%
  • synthetic aperture radar 96%
  • principal components analysis 85%
  • data reduction 81%
  • pattern recognition 81%
  129 Citations (Scopus)

  393 Downloads (Pure)

• Robust PCA for micro-doppler classification using SVM on embedded systems

  Zabalza, J., Clemente, C., Di Caterina, G., Ren, J., Soraghan, J. J. & Marshall, S., 31 Jul 2014, In: IEEE Transactions on Aerospace and Electronic Systems. 50, 3, p. 2304-2310 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Embedded systems 100%
  • Feature extraction 83%
  • Costs 41%
  70 Citations (Scopus)

  157 Downloads (Pure)

• Singular spectrum analysis for effective feature extraction in hyperspectral imaging

  Zabalza, J., Ren, J., Wang, Z., Marshall, S. & Wang, J., Nov 2014, In: IEEE Geoscience and Remote Sensing Letters. 11, 11, p. 1886-1890 5 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Hyperspectral imaging 100%
  • Spectrum analysis 69%
  • spectral analysis 63%
  • Feature extraction 51%
  • Time series analysis 27%
  66 Citations (Scopus)

  865 Downloads (Pure)

• Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing method

  Qiao, T., Ren, J., Zabalza, J., Craigie, C., Maltin, C. & Marshall, S., Sep 2014, p. 148. 1 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  File

  • Beef 100%
  • Hyperspectral imaging 97%
  • hyperspectral imagery 95%
  • Red Meat 79%
  • processing technology 68%
  68 Downloads (Pure)

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

  Zabalza, J., Ren, J., Ren, J., Liu, Z. & Marshall, S., 4 Jul 2014, In: Applied Optics. 53, 20, p. 4440-4449 10 p., 208226.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Hyperspectral imaging 100%
  • principal components analysis 85%
  • pattern recognition 81%
  • Dimensionality reduction 73%
  • Covariance matrix 68%
  42 Citations (Scopus)

  182 Downloads (Pure)
• 2013

  Use of hyperspectral imaging technologies for prediction of beef meat quality

  Qiao, T., Ren, J., Zabalza, J., Craigie, C. & Maltin, C., 1 Oct 2013.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  File

  • Beef 100%
  • Hyperspectral imaging 97%
  • Meats 90%
  • Red Meat 79%
  • Meat 72%
  44 Downloads (Pure)
• 2012

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

  Zabalza, J., Ren, J., Clemente, C., Di Caterina, G. & Soraghan, J., Sep 2012, 2012 5th European DSP Education and Research Conference (EDERC). IEEE, p. 90-94 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Support vector machines 100%
  • Light emitting diodes 41%
  • User interfaces 36%
  • Data storage equipment 25%
  10 Citations (Scopus)