Lloyd Windrim

According to our database, Lloyd Windrim authored at least 12 papers between 2016 and 2023.

Collaborative distances:

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

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

2020

Tree Detection and Health Monitoring in Multispectral Aerial Imagery and Photogrammetric Pointclouds Using Machine Learning.

Lloyd Windrim, Angus J. Carnegie, Murray Webster, Mitch Bryson

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning.

Lloyd Windrim, Mitch Bryson

Remote. Sens., 2020

Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning.

James Allworth, Lloyd Windrim, Jeffrey Wardman, Daniel Kucharski, James Bennett, Mitch Bryson

CoRR, 2020

2019

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders.

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

Remote. Sens., 2019

Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and Machine Learning.

Lloyd Windrim, Mitch Bryson, Michael McLean, Jeremy Randle, Christine Stone

Remote. Sens., 2019

Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR.

Lloyd Windrim, Mitch Bryson

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Illumination Invariant Deep Learning for Hyperspectral Data.

Lloyd Windrim

PhD thesis, 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

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

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