A. Chlingaryan

发表

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

A. Melkumyan, R. Murphy, Raymond Leung, 2023, Geoscience Frontiers.

Creating large scale probabilistic boundaries using Gaussian Processes

Katherine L. Silversides, A. Melkumyan, A. Ball, 2022, Expert Syst. Appl..

Bayesian Surface Warping Approach for Rectifying Geological Boundaries Using Displacement Likelihood and Evidence from Geochemical Assays pdf

Arman Melkumyan, Anna Chlingaryan, Raymond Leung, 2020, ACM Trans. Spatial Algorithms Syst..

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders

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

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

Salah Sukkarieh, Brett Whelan, Anna Chlingaryan, 2018, Comput. Electron. Agric..

Pretraining for Hyperspectral Convolutional Neural Network Classification

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

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 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.

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).

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.

Quantifying leaf-scale variations in water absorption in lettuce from hyperspectral imagery: a laboratory study with implications for measuring leaf water content in the context of precision agriculture

S. Sukkarieh, R. Murphy, B. Whelan, 2018, Precision Agriculture.

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders

A. Melkumyan, R. Murphy, Lloyd Windrim, 2019, Remote. Sens..

R. Murphy, B. Whelan, Anna Chlingaryan, 2018, Precision Agriculture.

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).

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.