On the development of a hyperspectral library for autonomous mining systems - Semantic Scholar

Abstract

The use of hyperspectral imagery for robotics is predicted to increase as costs of sensors decline. A library of spectra can be used to map hyperspectral data to identify objects by comparing their reflectance signature to known materials. In this paper, methods used to build the spectral library to map geology on mine faces are described. The library… (More)

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Cited By

A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes

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

A geological perception system for autonomous mining

Sven Schneider, Arman Melkumyan, Richard J. Murphy, Eric Nettleton
2012 IEEE International Conference on Robotics…
2012

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

Sven Schneider, Arman Melkumyan, Richard J. Murphy, Eric Nettleton
2011 IEEE 23rd International Conference on Tools…
2011

Estimation and tracking of excavated material in mining

Christopher Innes, Eric Nettleton, Arman Melkumyan
14th International Conference on Information…
2011

Feature selection with PSO and kernel methods for hyperspectral classification

Anthony S. J. Tjiong, Sildomar T. Monteiro
2011 IEEE Congress of Evolutionary Computation…
2011

Calibrating probabilities for hyperspectral classification of rock types

Sildomar T. Monteiro, Richard J. Murphy
2010 IEEE International Geoscience and Remote…
2010

Gaussian Processes with OAD Covariance Function for Hyperspectral Data Classification

Sven Schneider, Arman Melkumyan, Richard J. Murphy, Eric Nettleton
2010 22nd IEEE International Conference on Tools…
2010

References

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