S. Marshall

Stephen Marshall, Thi-Lan Le, Ivan Andonovic, 2016, 2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF).

Effective classification of Chinese tea samples in hyperspectral imaging

Stephen Marshall, Jinchang Ren, Timothy Kelman, 2013, Artif. Intell. Res..

Complex-valued neural network for hyperspectral single image super resolution

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2023, Photonex.

Hyperspectral imaging technology

Stephen Marshall, S. Marshall, 2011 .

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.

A Review of Spatial Enhancement of Hyperspectral Remote Sensing Imaging Techniques

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

MIMR-DGSA: Unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm

Stephen Marshall, Zhijing Yang, Jinchang Ren, 2019, Inf. Fusion.

Joint bilateral filtering and spectral similarity-based sparse representation: A generic framework for effective feature extraction and data classification in hyperspectral imaging

Jon Atli Benediktsson, Stephen Marshall, Zhijing Yang, 2017, Pattern Recognit..

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.

Tri-CNN: A Three Branch Model for Hyperspectral Image Classification

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2023, Remote. Sens..

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

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

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

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

SISR of Hyperspectral Remote Sensing Imagery Using 3D Encoder-Decoder RUNet Architecture

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Multiscale Spatial Fusion and Regularization Induced Unsupervised Auxiliary Task CNN Model for Deep Super-Resolution of Hyperspectral Images

S. Marshall, Huimin Zhao, Z. Wang, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

3D Expansion of SRCNN for Spatial Enhancement of Hyperspectral Remote Sensing Images

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2021, 2021 4th International Conference on Signal Processing and Information Security (ICSPIS).

Super-resolution of satellite imagery using a wavelet multiscale-based deep convolutional neural network model

Saeed Al Mansoori, Stephen Marshall, Hussain Al-Ahmad, 2020, Remote Sensing.

Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos

Stephen Marshall, Yijun Yan, Jiangbin Zheng, 2018, Cognitive Computation.

A Comparative Study of Loss Functions for Hyperspectral SISR

Mohammed Q. Alkhatib, S. Marshall, J. Zabalza, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Autonomous Object Detection in Satellite Images Using Wfrcnn

S. Marshall, H. Al-Ahmad, N. Aburaed, 2020, 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS).

Investigating the Effects of a Combined Spatial and Spectral Dimensionality Reduction Approach for Aerial Hyperspectral Target Detection Applications

Stephen Marshall, Paul Murray, Henry White, 2021, Remote. Sens..

Object detection and classification in aerial hyperspectral imagery using a multivariate hit-or-miss transform

Fraser Macfarlane, Stephen Marshall, Paul Murray, 2019, Defense + Commercial Sensing.

Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images

Metin Demiralp, Huimin Zhao, Jinchang Ren, 2021, IEEE Transactions on Geoscience and Remote Sensing.

A Novel Gradient-guided Post-processing Method for Adaptive Image Steganography

S. Marshall, Huimin Zhao, J. Ren, 2022, Signal Process..

A New Cost Function for Spatial Image Steganography Based on 2D-SSA and WMF

Stephen Marshall, Jinchang Ren, Huimin Zhao, 2021, IEEE Access.

Evaluation of Deep Learning and Conventional Approaches for Image Steganalysis

Stephen Marshall, Huimin Zhao, Jinchang Ren, 2019, BICS.

Operational Neural Networks for Efficient Hyperspectral Single-Image Super-Resolution

P. Murray, S. Marshall, S. Kiranyaz, 2023, 2303.16636.

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

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

Hyperspectral Image Enhancement and Mixture Deep-Learning Classification of Corneal Epithelium Injuries

Stephen Marshall, Jinchang Ren, Siti Salwa Md Noor, 2017, Sensors.

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.

Effective compression of hyperspectral imagery using improved three dimensional discrete cosine transform

Stephen Marshall, Jinchang Ren, Cameron Craigie, 2013, 2013 6th UK, Europe, China Millimeter Waves and THz Technology Workshop (UCMMT).

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

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

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.

The properties of the cornea based on hyperspectral imaging: Optical biomedical engineering perspective

Stephen Marshall, Jinchang Ren, Julius Tschannerl, 2016, 2016 International Conference on Systems, Signals and Image Processing (IWSSIP).

Compressive Sampling Using a Pushframe Camera

Stephen Marshall, Paul Murray, Yoann Noblet, 2021, IEEE Transactions on Computational Imaging.

Self-attention enhanced deep residual network for spatial image steganalysis

S. Marshall, Huimin Zhao, Rongjun Chen, 2023, Digital Signal Processing.

Triple loss for hard face detection

Kaizhu Huang, Stephen Marshall, Zheng Wang, 2020, Neurocomputing.

Copulas for statistical signal processing (Part I): Extensions and generalization

Tariq S. Durrani, Stephen Marshall, Jinchang Ren, 2014, Signal Process..

Copulas for statistical signal processing (Part II): Simulation, optimal selection and practical applications

Tariq S. Durrani, Stephen Marshall, Jinchang Ren, 2014, Signal Process..

Integrating Deep Learning with Active Contour Models in Remote Sensing Image Segmentation

Stephen Marshall, Saeed Al-Mansoori, Hussain Al-Ahmad, 2020, 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS).

3D Sensing Techniques for Multimodal Data Analysis and Integration in Smart and Autonomous Systems

Tariq S. Durrani, Stephen Marshall, Huimin Zhao, 2017, CSPS.

The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry

Vaclav Svoboda, Stephen Marshall, Bilal Ahmed, 2018 .

Robust PCA micro-doppler classification using SVM on embedded systems

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

Compact multispectral pushframe camera for nanosatellites.

Stuart Bennett, Paul Murray, Stephen Marshall, 2020, Applied optics.

A review of recent advances in the hit-or-miss transform

Stephen Marshall, Paul Murray, P. Murray, 2012 .

Image mosaicing for automated pipe scanning

Stephen Marshall, Gordon Dobie, Rahul Summan, 2015 .

Adaptive clustering of spectral components for band selection in hyperspectral imagery

Stephen Marshall, Jinchang Ren, Timothy Kelman, 2011 .

Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery

Chunhui Zhao, Stephen Marshall, Jinchang Ren, 2013 .

Selectively filtering image features using a Percentage Occupancy Hit-or-Miss Transform

Stephen Marshall, Paul Murray, P. Murray, 2012 .

SAFDet: A Semi-Anchor-Free Detector for Effective Detection of Oriented Objects in Aerial Images

Junwei Han, Huimin Zhao, Jinchang Ren, 2020, Remote. Sens..

Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging

S. Marshall, Jinchang Ren, J. Zabalza, 2014, IEEE Geoscience and Remote Sensing Letters.

Use of infrared hyperspectral imaging as an aid for paint identification

Stephen Marshall, Paul Murray, Timothy Kelman, 2016 .

Remote oil spill detection and monitoring beneath sea ice

Stephen Marshall, Jinchang Ren, Adam Polak, 2016 .

Hyperspectral imaging through partially transparent media

P. Murray, S. Marshall, J. Zabalza, 2023, Photonex.

Spatial and spectral analysis of corneal epithelium injury using hyperspectral images

Stephen Marshall, Jinchang Ren, Kaleena Michael, 2017, International Conference on Machine Vision.

Quality-assured fingerprint image enhancement and extraction using hyperspectral imaging

Stephen Marshall, Jinchang Ren, Kevin Gill, 2011, ICDP.

Strathprints Institutional Repository Effective Classification of Chinese Tea Samples in Hyperspectral Imaging

T. Kelman, S. Marshall, Jinchang Ren, 2022 .

Space object identification and classification from hyperspectral material analysis

P. Murray, S. Marshall, V. Savitski, 2023, Scientific reports.

Low-cost hyper-spectral imaging system using a linear variable bandpass filter for agritech applications.

Des Gibson, Fraser Macfarlane, Stephen Marshall, 2020, Applied optics.

Hyperspectral Imaging Based Detection of PVC During Sellafield Repackaging Procedures

P. Murray, S. Marshall, J. Zabalza, 2023, IEEE Sensors Journal.

'On the fly' dimensionality reduction for hyperspectral image acquisition

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

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).

Automatic detection of potential buried archaeological sites in Saruq Al-Hadid, United Arab Emirates

Saeed Al Mansoori, Stephen Marshall, Hussain Al-Ahmad, 2020, Remote Sensing.

Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-Resolution

P. Murray, S. Marshall, S. Kiranyaz, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.