Richard J. Murphy

Orcid: 0000-0003-3201-4768

According to our database1, Richard J. Murphy authored at least 24 papers between 2010 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Potential of Using Night-Time Light to Proxy Social Indicators for Sustainable Development.
Remote. Sens., March, 2023

Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data.
CoRR, 2023

2019
Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders.
Remote. Sens., 2019

2018
A Physics-Based Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images.
IEEE Trans. Image Process., 2018

Pretraining for Hyperspectral Convolutional Neural Network Classification.
IEEE Trans. Geosci. Remote. Sens., 2018

A Probabilistic Framework for Fusing Classifications Derived From Multi-Temporal Hyperspectral Imagery.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

2017
Hyperspectral CNN Classification with Limited Training Samples.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates.
IEEE Trans. Image Process., 2016

A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes.
IEEE Trans. Geosci. Remote. Sens., 2016

A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes.
IEEE Trans. Geosci. Remote. Sens., 2016

Unsupervised feature learning for illumination robustness.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Gaussian Processes for Estimating Wavelength Position of the Ferric Iron Crystal Field Feature at $\sim$ 900 nm From Hyperspectral Imagery Acquired in the Short-Wave Infrared (1002-1355 nm).
IEEE Trans. Geosci. Remote. Sens., 2015

Spectral curve-based endmember extraction method.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

2014
Consistency of Measurements of Wavelength Position From Hyperspectral Imagery: Use of the Ferric Iron Crystal Field Absorption at ~900 nm as an Indicator of Mineralogy.
IEEE Trans. Geosci. Remote. Sens., 2014

Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination.
Remote. Sens., 2014

Multiple endmember spectral unmixing within a multi-task framework.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Combining strong features for registration of hyperspectral and lidar data from field-based platforms.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Evaluating Classification Techniques for Mapping Vertical Geology Using Field-Based Hyperspectral Sensors.
IEEE Trans. Geosci. Remote. Sens., 2012

A geological perception system for autonomous mining.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011
Embedded feature selection of hyperspectral bands with boosted decision trees.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Classification of Hyperspectral Imagery Using GPs and the OAD Covariance Function with Automated Endmember Extraction.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
Calibrating probabilities for hyperspectral classification of rock types.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Gaussian Processes with OAD Covariance Function for Hyperspectral Data Classification.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Spectral Domain Noise Suppression in Dual-Sensor Hyperspectral Imagery Using Gaussian Processes.
Proceedings of the Neural Information Processing. Models and Applications, 2010


  Loading...