Lloyd Windrim

ORCID

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 13

Top Venues

University of Sydney, Australia (PHD)

Education History

University of Sydney, Australia

PHD

Publications

Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Raymond Leung
Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data. CoRR (2023)
Lloyd Windrim, Angus J. Carnegie, Murray Webster, Mitch Bryson
Tree Detection and Health Monitoring in Multispectral Aerial Imagery and Photogrammetric Pointclouds Using Machine Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Lloyd Windrim, Mitch Bryson
Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning. Remote. Sens. 12 (9) (2020)
James Allworth, Lloyd Windrim, Jeffrey Wardman, Daniel Kucharski, James Bennett, Mitch Bryson
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning. CoRR (2020)
Lloyd Windrim, Mitch Bryson
Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR. IROS (2019)
Lloyd Windrim, Mitch Bryson, Michael McLean, Jeremy Randle, Christine Stone
Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and Machine Learning. Remote. Sens. 11 (6) (2019)
Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan
Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders. Remote. Sens. 11 (7) (2019)
Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy
A Physics-Based Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images. IEEE Trans. Image Process. 27 (2) (2018)
Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Rishi Ramakrishnan
Pretraining for Hyperspectral Convolutional Neural Network Classification. IEEE Trans. Geosci. Remote. Sens. 56 (5) (2018)
Lloyd Windrim, Mitch Bryson
Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR. CoRR (2018)
Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy
Hyperspectral CNN Classification with Limited Training Samples. BMVC (2017)
Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy
Hyperspectral CNN Classification with Limited Training Samples. CoRR (2016)
Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Juan I. Nieto
Unsupervised feature learning for illumination robustness. ICIP (2016)

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Publication Activity (10 Years)

Top Topics

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Lloyd Windrim