21 citations · 23 across the 3 of their papers we have counts for
4 papers
Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data
Lloyd Windrim, Arman Melkumyan, Richard J. Murphy +2
The remote mapping of minerals and discrimination of ore and waste on surfaces are important tasks for geological applications such as those in mining. Such tasks have become possi…
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning
James Allworth, Lloyd Windrim, Jeffrey Wardman +3
This paper presents the initial stages in the development of a deep learning classifier for generalised Resident Space Object (RSO) characterisation that combines high-fidelity sim…
Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR
Lloyd Windrim, Mitch Bryson
This paper presents an autonomous approach to tree detection and segmentation in high resolution airborne LiDAR that utilises state-of-the-art region-based CNN and 3D-CNN deep lear…
Hyperspectral CNN Classification with Limited Training Samples
Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan +1
Hyperspectral imaging sensors are becoming increasingly popular in robotics applications such as agriculture and mining, and allow per-pixel thematic classification of materials in…