| EEG-based brain-computer interfaces using motor-imagery: Techniques and challenges N Padfield, J Zabalza, H Zhao, V Masero, J Ren Sensors 19 (6), 1423, 2019 | 453 | 2019 |
| Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging J Zabalza, J Ren, J Zheng, H Zhao, C Qing, Z Yang, P Du, S Marshall Neurocomputing 185, 1-10, 2016 | 390 | 2016 |
| Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing J Zabalza, J Ren, M Yang, Y Zhang, J Wang, S Marshall, J Han ISPRS Journal of Photogrammetry and Remote Sensing 93, 112-122, 2014 | 258 | 2014 |
| Novel two-dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging J Zabalza, J Ren, J Zheng, J Han, H Zhao, S Li, S Marshall IEEE transactions on geoscience and remote sensing 53 (8), 4418-4433, 2015 | 176 | 2015 |
| Effective feature extraction and data reduction in remote sensing using hyperspectral imaging [applications corner] J Ren, J Zabalza, S Marshall, J Zheng IEEE Signal Processing Magazine 31 (4), 149-154, 2014 | 141* | 2014 |
| Effective denoising and classification of hyperspectral images using curvelet transform and singular spectrum analysis T Qiao, J Ren, Z Wang, J Zabalza, M Sun, H Zhao, S Li, JA Benediktsson, ... IEEE transactions on geoscience and remote sensing 55 (1), 119-133, 2016 | 139 | 2016 |
| Singular spectrum analysis for effective feature extraction in hyperspectral imaging J Zabalza, J Ren, Z Wang, S Marshall, J Wang IEEE Geoscience and Remote Sensing Letters 11 (11), 1886-1890, 2014 | 118 | 2014 |
| Robust PCA micro-Doppler classification using SVM on embedded systems J Zabalza, C Clemente, G Di Caterina, J Ren, JJ Soraghan, S Marshall IEEE Transactions on Aerospace and Electronic Systems 50 (3), 2304-2310, 2014 | 116 | 2014 |
| Quantitative prediction of beef quality using visible and NIR spectroscopy with large data samples under industry conditions T Qiao, J Ren, C Craigie, J Zabalza, C Maltin, S Marshall Journal of Applied Spectroscopy 82, 137-144, 2015 | 65 | 2015 |
| Structured covariance principal component analysis for real-time onsite feature extraction and dimensionality reduction in hyperspectral imaging J Zabalza, J Ren, J Ren, Z Liu, S Marshall Applied Optics 53 (20), 4440-4449, 2014 | 64 | 2014 |
| SpaSSA: Superpixelwise adaptive SSA for unsupervised spatial–spectral feature extraction in hyperspectral image G Sun, H Fu, J Ren, A Zhang, J Zabalza, X Jia, H Zhao IEEE Transactions on Cybernetics 52 (7), 6158-6169, 2021 | 50 | 2021 |
| Singular spectrum analysis for improving hyperspectral imaging based beef eating quality evaluation T Qiao, J Ren, C Craigie, J Zabalza, C Maltin, S Marshall Computers and Electronics in Agriculture 115, 21-25, 2015 | 43 | 2015 |
| Fast implementation of singular spectrum analysis for effective feature extraction in hyperspectral imaging J Zabalza, J Ren, Z Wang, H Zhao, J Wang, S Marshall IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 41 | 2014 |
| Superpixel based feature specific sparse representation for spectral-spatial classification of hyperspectral images H Sun, J Ren, H Zhao, Y Yan, J Zabalza, S Marshall Remote Sensing 11 (5), 536, 2019 | 39 | 2019 |
| Folded LDA: extending the linear discriminant analysis algorithm for feature extraction and data reduction in hyperspectral remote sensing SD Fabiyi, P Murray, J Zabalza, J Ren IEEE Journal of selected topics in applied earth observations and remote …, 2021 | 37 | 2021 |
| Hyperspectral imaging for food applications S Marshall, T Kelman, T Qiao, P Murray, J Zabalza 2015 23rd European Signal Processing Conference (EUSIPCO), 2854-2858, 2015 | 37 | 2015 |
| Tri-CNN: A three branch model for hyperspectral image classification MQ Alkhatib, M Al-Saad, N Aburaed, S Almansoori, J Zabalza, S Marshall, ... Remote Sensing 15 (2), 316, 2023 | 32 | 2023 |
| Fast implementation of two-dimensional singular spectrum analysis for effective data classification in hyperspectral imaging J Zabalza, C Qing, P Yuen, G Sun, H Zhao, J Ren Journal of the Franklin Institute 355 (4), 1733-1751, 2018 | 31 | 2018 |
| Adaptive distance-based band hierarchy (ADBH) for effective hyperspectral band selection H Sun, J Ren, H Zhao, G Sun, W Liao, Z Fang, J Zabalza IEEE transactions on cybernetics 52 (1), 215-227, 2020 | 28 | 2020 |
| Spatial‐spectral classification of hyperspectral images: a deep learning framework with Markov Random fields based modelling C Qing, J Ruan, X Xu, J Ren, J Zabalza IET Image Processing 13 (2), 235-245, 2019 | 28 | 2019 |
