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Books and Theses
- 2018
[b1]Lloyd Windrim:
Illumination Invariant Deep Learning for Hyperspectral Data. University of Sydney, Australia, 2018
Journal Articles
- 2020
- [j6]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): 1469 (2020) - [j5]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: 2554-2572 (2020) - 2019
- [j4]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): 733 (2019) - [j3]Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan:
Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders. Remote. Sens. 11(7): 864 (2019) - 2018
- [j2]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): 2798-2810 (2018) - [j1]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): 665-677 (2018)
Conference and Workshop Papers
- 2019
- [c3]Lloyd Windrim, Mitch Bryson:
Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR. IROS 2019: 3898-3904 - 2017
- [c2]Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy:
Hyperspectral CNN Classification with Limited Training Samples. BMVC 2017 - 2016
- [c1]Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Juan I. Nieto:
Unsupervised feature learning for illumination robustness. ICIP 2016: 4453-4457
Informal and Other Publications
- 2023
- [i4]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 abs/2302.04936 (2023) - 2020
- [i3]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 abs/2004.12270 (2020) - 2018
- [i2]Lloyd Windrim, Mitch Bryson:
Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR. CoRR abs/1810.12536 (2018) - 2016
- [i1]Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy:
Hyperspectral CNN Classification with Limited Training Samples. CoRR abs/1611.09007 (2016)
Coauthor Index
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