Jaime Zabalza
Jaime Zabalza
Research Fellow, University of Strathclyde
Verified email at iicv.es - Homepage
Title
Cited by
Cited by
Year
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
2052016
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
1562014
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
1132015
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
111*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
872016
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
842019
Robust PCA for 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
812014
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
772014
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
532014
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 (1), 137-144, 2015
472015
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
362015
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
232015
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
222014
Embedded SVM on TMS320C6713 for signal prediction in classification and regression applications
J Zabalza, J Ren, C Clemente, G Di Caterina, J Soraghan
2012 5th European DSP Education and Research Conference (EDERC), 90-94, 2012
132012
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
122019
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, 2018
112018
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
102018
Segmented autoencoders for unsupervised embedded hyperspectral band selection
J Tschannerl, J Ren, J Zabalza, S Marshall
2018 7th European workshop on visual information processing (EUVIP), 1-6, 2018
62018
Hyperspectral band selection using crossover-based gravitational search algorithm
A Zhang, P Ma, S Liu, G Sun, H Huang, J Zabalza, Z Wang, C Lin
IET Image Processing 13 (2), 280-286, 2018
62018
Comparison between near infrared spectroscopy and hyperspectral imaging in predicting beef eating quality
T Qiao, J Ren, C Craigie, J Zabalza, C Maltin, S Marshall
Hyperspectral Imaging and Applications Conference (HSI 2014), 2014
52014
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