Jaime Zabalza

发表

Robust PCA micro-doppler classification using SVM on embedded systems

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

Making Industrial Robots Smarter with Adaptive Reasoning and Autonomous Thinking for Real-Time Tasks in Dynamic Environments: A Case Study

Erfu Yang, Yijun Yan, Jinchang Ren, 2018, BICS.

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

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

Hyperspectral imaging for food applications

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

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.

'On the fly' dimensionality reduction for hyperspectral image acquisition

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

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

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

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

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

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.

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.

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

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

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

Xinying Xu, Jing Zhao, Gang Xie, 2018 .

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

Jun Wang, Stephen Marshall, Jinchang Ren, 2015, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

Hyperspectral band selection using crossover-based gravitational search algorithm

Ping Ma, Hui Huang, Aizhu Zhang, 2019, IET Image Process..

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..

Segmented Autoencoders for Unsupervised Embedded Hyperspectral Band Selection

Stephen Marshall, Jinchang Ren, Jaime Zabalza, 2018, 2018 7th European Workshop on Visual Information Processing (EUVIP).

Joint kernelized sparse representation classification for hyperspectral imagery

Stephen Marshall, Yijun Yan, Jinchang Ren, 2018 .

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.

Smart Sensing and Adaptive Reasoning for Enabling Industrial Robots with Interactive Human-Robot Capabilities in Dynamic Environments—A Case Study

Erfu Yang, Yijun Yan, Jinchang Ren, 2019, Sensors.

Spectral and Spatial Kernel Extreme Learning Machine for Hyperspectral Image Classification

Zhijing Yang, Weizhao Chen, Faxian Cao, 2018, BICS.

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).

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

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

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.

Corrigendum to 'Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging' Neurocomputing 185 (2016) 1-10

Peijun Du, Stephen Marshall, Jiangbin Zheng, 2016 .

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..

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.

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

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

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 .

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.

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.

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

Stephen Marshall, Jinchang Ren, Jaime Zabalza, 2015 .