Jaime Zabalza

Orcid: 0000-0002-0634-1725

According to our database1, Jaime Zabalza authored at least 35 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Tri-CNN: A Three Branch Model for Hyperspectral Image Classification.
Remote. Sens., January, 2023

Multiscale Superpixelwise Prophet Model for Noise-Robust Feature Extraction in Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2023

A Review of Spatial Enhancement of Hyperspectral Remote Sensing Imaging Techniques.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

PCA-Domain Fused Singular Spectral Analysis for Fast and Noise-Robust Spectral-Spatial Feature Mining in Hyperspectral Classification.
IEEE Geosci. Remote. Sens. Lett., 2023

Hyperspectral Data Scarcity Problem from a Super Resolution Perspective: Data Augmentation Analysis and Scheme.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Bayesian Hybrid Loss for Hyperspectral SISR Using 3D Wide Residual CNN.
Proceedings of the IEEE International Conference on Image Processing, 2023

Attention-Infused 3D-SRCNN for Hyperspectral Image Super Resolution.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Adaptive Distance-Based Band Hierarchy (ADBH) for Effective Hyperspectral Band Selection.
IEEE Trans. Cybern., 2022

SpaSSA: Superpixelwise Adaptive SSA for Unsupervised Spatial-Spectral Feature Extraction in Hyperspectral Image.
IEEE Trans. Cybern., 2022

SISR of Hyperspectral Remote Sensing Imagery Using 3D Encoder-Decoder RUNet Architecture.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Comparative Study of Loss Functions for Hyperspectral SISR.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Folded LDA: Extending the Linear Discriminant Analysis Algorithm for Feature Extraction and Data Reduction in Hyperspectral Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

3D Expansion of SRCNN for Spatial Enhancement of Hyperspectral Remote Sensing Images.
Proceedings of the 4th International Conference on Signal Processing and Information Security, 2021

2020
A Novel Intelligent Computational Approach to Model Epidemiological Trends and Assess the Impact of Non-Pharmacological Interventions for COVID-19.
IEEE J. Biomed. Health Informatics, 2020

A Novel Spectral-Spatial Singular Spectrum Analysis Technique for Near Real-Time In Situ Feature Extraction in Hyperspectral Imaging.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2D-SSA Based Multiscale Feature Fusion for Feature Extraction and Data Classification in Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Smart Sensing and Adaptive Reasoning for Enabling Industrial Robots with Interactive Human-Robot Capabilities in Dynamic Environments - A Case Study.
Sensors, 2019

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges.
Sensors, 2019

Superpixel based Feature Specific Sparse Representation for Spectral-Spatial Classification of Hyperspectral Images.
Remote. Sens., 2019

Hyperspectral band selection using crossover-based gravitational search algorithm.
IET Image Process., 2019

Spatial-spectral classification of hyperspectral images: a deep learning framework with Markov Random fields based modelling.
IET Image Process., 2019

2018
Fast implementation of two-dimensional singular spectrum analysis for effective data classification in hyperspectral imaging.
J. Frankl. Inst., 2018

Segmented Autoencoders for Unsupervised Embedded Hyperspectral Band Selection.
Proceedings of the 7th European Workshop on Visual Information Processing, 2018

Making Industrial Robots Smarter with Adaptive Reasoning and Autonomous Thinking for Real-Time Tasks in Dynamic Environments: A Case Study.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

Spectral and Spatial Kernel Extreme Learning Machine for Hyperspectral Image Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017
Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis.
IEEE Trans. Geosci. Remote. Sens., 2017

2016
Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging.
Neurocomputing, 2016

2015
Novel Two-Dimensional Singular Spectrum Analysis for Effective Feature Extraction and Data Classification in Hyperspectral Imaging.
IEEE Trans. Geosci. Remote. Sens., 2015

Fast Implementation of Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Singular spectrum analysis for improving hyperspectral imaging based beef eating quality evaluation.
Comput. Electron. Agric., 2015

'On the fly' dimensionality reduction for hyperspectral image acquisition.
Proceedings of the 23rd European Signal Processing Conference, 2015

Hyperspectral imaging for food applications.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Effective Feature Extraction and Data Reduction in Remote Sensing Using Hyperspectral Imaging [Applications Corner].
IEEE Signal Process. Mag., 2014

Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging.
IEEE Geosci. Remote. Sens. Lett., 2014

Singular Spectrum Analysis for effective noise removal and improved data classification in Hyperspectral Imaging.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014


  Loading...