Richard J. Murphy

发表

The energy efficiency behaviour of individuals in large organisations: A case study of a major UK infrastructure operator

Rupert Zierler, Walter Wehrmeyer, Richard J. Murphy, 2017 .

Pretraining for Hyperspectral Convolutional Neural Network Classification

Richard J. Murphy, Rishi Ramakrishnan, Lloyd Windrim, 2018, IEEE Transactions on Geoscience and Remote Sensing.

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

Sildomar T. Monteiro, Richard J. Murphy, Sven Schneider, 2014, Remote. Sens..

Embedded feature selection of hyperspectral bands with boosted decision trees

Sildomar T. Monteiro, Richard J. Murphy, R. Murphy, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

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

Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Evaluating Classification Techniques for Mapping Vertical Geology Using Field-Based Hyperspectral Sensors

Sildomar T. Monteiro, Richard J. Murphy, Sven Schneider, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Uncertainty communication in the environmental life cycle assessment of carbon nanotubes.

Richard J. Murphy, Sophie Parsons, Jacquetta Lee, 2015 .

Spectral Domain Noise Suppression in Dual-Sensor Hyperspectral Imagery Using Gaussian Processes

Richard J. Murphy, Arman Melkumyan, A. Melkumyan, 2010, ICONIP.

Gaussian Processes with OAD Covariance Function for Hyperspectral Data Classification

Richard J. Murphy, Eric Nettleton, Arman Melkumyan, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

Classification of Hyperspectral Imagery Using GPs and the OAD Covariance Function with Automated Endmember Extraction

Richard J. Murphy, Eric Nettleton, Arman Melkumyan, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

A geological perception system for autonomous mining

Richard J. Murphy, Eric Nettleton, Arman Melkumyan, 2012, 2012 IEEE International Conference on Robotics and Automation.

Combining strong features for registration of hyperspectral and lidar data from field-based platforms

Sildomar T. Monteiro, Richard J. Murphy, Rishi Ramakrishnan, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Evaluating the performance of a new classifier – the GP-OAD: A comparison with existing methods for classifying rock type and mineralogy from hyperspectral imagery

Richard J. Murphy, Sven Schneider, Arman Melkumyan, 2014 .

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, Arman Melkumyan, Anna Chlingaryan, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Unsupervised feature learning for illumination robustness

Richard J. Murphy, Juan I. Nieto, Lloyd Windrim, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders

Richard J. Murphy, Rishi Ramakrishnan, Lloyd Windrim, 2019, Remote. Sens..

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

Richard J. Murphy, Rishi Ramakrishnan, Lloyd Windrim, 2018, IEEE Transactions on Image Processing.

Automated Multi-class Classification of Remotely Sensed Hyperspectral Imagery Via Gaussian Processes with a Non-stationary Covariance Function

Richard J. Murphy, Sven Schneider, Arman Melkumyan, 2016, Mathematical Geosciences.

Multiple endmember spectral unmixing within a multi-task framework

Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Calibrating probabilities for hyperspectral classification of rock types

Sildomar T. Monteiro, Richard J. Murphy, R. Murphy, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

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

Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan, 2016, IEEE Transactions on Image Processing.

A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes

Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Spectral curve-based endmember extraction method

Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan, 2015, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Consistency of Measurements of Wavelength Position From Hyperspectral Imagery: Use of the Ferric Iron Crystal Field Absorption at $\sim$900 nm as an Indicator of Mineralogy

Sildomar T. Monteiro, Richard J. Murphy, Sven Schneider, 2014, IEEE Transactions on Geoscience and Remote Sensing.

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

Richard J. Murphy, Sven Schneider, Arman Melkumyan, 2018, 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Applying boosting for hyperspectral classification of ore-bearing rocks

Richard J. Murphy, Juan I. Nieto, Fabio Ramos, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

Hyperspectral CNN Classification with Limited Training Samples pdf

Richard J. Murphy, Rishi Ramakrishnan, Lloyd Windrim, 2016, BMVC.

Estimation of surface chlorophyll‐a on an emersed mudflat using field spectrometry: accuracy of ratios and derivative‐based approaches

Richard J. Murphy, Trevor Tolhurst, R. Murphy, 2005 .

Mapping clay minerals in an open-pit mine using hyperspectral and LiDAR data

Richard J. Murphy, Juan I. Nieto, Zachary Taylor, 2015 .

Field-based remote-sensing for experimental intertidal ecology: Case studies using hyperspatial and hyperspectral data for New South Wales (Australia)

Richard J. Murphy, Trevor Tolhurst, R. Murphy, 2008 .

The effects of surficial vegetation cover on mineral absorption feature parameters

Richard J. Murphy, R. Murphy, 1995 .