Richard J. Murphy

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Potential of Using Night-Time Light to Proxy Social Indicators for Sustainable Development.

Ana Andries, Stephen Morse, Richard J. Murphy, Jhuma Sadhukhan, Elias Martinez-Hernandez, Myriam A. Amezcua-Allieri, Jorge Aburto

Remote. Sens., March, 2023

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

Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Raymond Leung

CoRR, 2023

2019

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders.

Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan

Remote. Sens., 2019

2018

A Physics-Based Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images.

Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy

IEEE Trans. Image Process., 2018

Pretraining for Hyperspectral Convolutional Neural Network Classification.

Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Rishi Ramakrishnan

IEEE Trans. Geosci. Remote. Sens., 2018

A Probabilistic Framework for Fusing Classifications Derived From Multi-Temporal Hyperspectral Imagery.

Sven Schneider, Richard J. Murphy, Arman Melkumyan

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

2017

Hyperspectral CNN Classification with Limited Training Samples.

Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates.

Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan

IEEE Trans. Image Process., 2016

A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes.

Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan

IEEE Trans. Geosci. Remote. Sens., 2016

A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes.

Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan

IEEE Trans. Geosci. Remote. Sens., 2016

Unsupervised feature learning for illumination robustness.

Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Juan I. Nieto

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).

Richard J. Murphy, Anna Chlingaryan, Arman Melkumyan

IEEE Trans. Geosci. Remote. Sens., 2015

Spectral curve-based endmember extraction method.

Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan

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.

Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro

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.

Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro

Remote. Sens., 2014

Multiple endmember spectral unmixing within a multi-task framework.

Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan, Sven Schneider

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.

Sildomar T. Monteiro, Juan I. Nieto, Richard J. Murphy, Rishi Ramakrishnan, Zachary Taylor

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.

Richard J. Murphy, Sildomar T. Monteiro, Sven Schneider

IEEE Trans. Geosci. Remote. Sens., 2012

A geological perception system for autonomous mining.

Sven Schneider, Arman Melkumyan, Richard J. Murphy, Eric Nettleton

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Embedded feature selection of hyperspectral bands with boosted decision trees.

Sildomar T. Monteiro, Richard J. Murphy

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.

Sven Schneider, Arman Melkumyan, Richard J. Murphy, Eric Nettleton

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010

Calibrating probabilities for hyperspectral classification of rock types.

Sildomar T. Monteiro, Richard J. Murphy

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Gaussian Processes with OAD Covariance Function for Hyperspectral Data Classification.

Sven Schneider, Arman Melkumyan, Richard J. Murphy, Eric Nettleton

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.

Arman Melkumyan, Richard J. Murphy

Proceedings of the Neural Information Processing. Models and Applications, 2010