| Detection, segmentation, and model fitting of individual tree stems from airborne laser scanning of forests using deep learning L Windrim, M Bryson Remote Sensing 12 (9), 1469, 2020 | 76 | 2020 |
| Pretraining for hyperspectral convolutional neural network classification L Windrim, A Melkumyan, RJ Murphy, A Chlingaryan, R Ramakrishnan IEEE Transactions on Geoscience and Remote Sensing 56 (5), 2798-2810, 2018 | 65 | 2018 |
| Unsupervised feature-learning for hyperspectral data with autoencoders L Windrim, R Ramakrishnan, A Melkumyan, RJ Murphy, A Chlingaryan Remote Sensing 11 (7), 864, 2019 | 46 | 2019 |
| A physics-based deep learning approach to shadow invariant representations of hyperspectral images L Windrim, R Ramakrishnan, A Melkumyan, RJ Murphy IEEE Transactions on Image Processing 27 (2), 665-677, 2017 | 45 | 2017 |
| Automated mapping of woody debris over harvested forest plantations using UAVs, high-resolution imagery, and machine learning L Windrim, M Bryson, M McLean, J Randle, C Stone Remote Sensing 11 (6), 733, 2019 | 39 | 2019 |
| Forest tree detection and segmentation using high resolution airborne LiDAR L Windrim, M Bryson 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 28 | 2019 |
| Tree detection and health monitoring in multispectral aerial imagery and photogrammetric pointclouds using machine learning L Windrim, AJ Carnegie, M Webster, M Bryson IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 24 | 2020 |
| Hyperspectral CNN classification with limited training samples L Windrim, R Ramakrishnan, A Melkumyan, R Murphy arXiv preprint arXiv:1611.09007, 2016 | 22 | 2016 |
| A transfer learning approach to space debris classification using observational light curve data J Allworth, L Windrim, J Bennett, M Bryson Acta Astronautica 181, 301-315, 2021 | 17 | 2021 |
| Unsupervised feature learning for illumination robustness L Windrim, A Melkumyan, R Murphy, A Chlingaryan, J Nieto 2016 IEEE International Conference on Image Processing (ICIP), 4453-4457, 2016 | 16 | 2016 |
| Development of a high fidelity simulator for generalised photometric based space object classification using machine learning J Allworth, L Windrim, J Wardman, D Kucharski, J Bennett, M Bryson arXiv preprint arXiv:2004.12270, 2020 | 13 | 2020 |
| Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data L Windrim, A Melkumyan, RJ Murphy, A Chlingaryan, R Leung Geoscience Frontiers 14 (4), 101562, 2023 | 7 | 2023 |
| Illumination invariant deep learning for hyperspectral data L Windrim | 1 | 2018 |
| Photometric Analysis of Rotating Rocket Bodies through Ground-Based Optical Observations J Allworth, M Bryson, L Windrim, J Bennett, J Wardman 43rd COSPAR Scientific Assembly. Held 28 January-4 February 43, 2194, 2021 | | 2021 |
| Rotational Disparity for Aiding Stereo Measurement in Challenging Imaging Environments N Boutros, L Windrim, O Pizarro, S Williams, R Ramakrishnan | | |
| Dissecting and Reassembling Color Correction Algorithms for Image Stitching......... F. Bellavia and C. Colombo 735 SDL: Saliency-Based Dictionary Learning Framework for Image … L Windrim, R Ramakrishnan, A Melkumyan, RJ Murphy, G Lu, X Zhang, ... | | |
Arman MelkumyanSenior Research Fellow and Orebody Knowledge Theme Leader, Rio Tinto Centre for MineVerified email at acfr.usyd.edu.au
