| OpenHSI: A Complete Open-Source Hyperspectral Imaging Solution for Everyone Y Mao, CH Betters, B Evans, CP Artlett, SG Leon-Saval, S Garske, ... Remote Sensing 14 (9), 2244, 2022 | 16 | 2022 |
| A Customisable Data Acquisition System for Open-Source Hyperspectral Imaging Y Mao, CH Betters, S Garske, J Randle, KC Wong, IH Cairns, BJ Evans Sensors 23 (20), 8622, 2023 | 1 | 2023 |
| ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line-Scanning S Garske, B Evans, C Artlett, KC Wong arXiv preprint arXiv:2408.14947, 2024 | | 2024 |
| Self-Supervised Anomaly Detection for Satellite Image Time-Series: A Case-Study for Natural Hazard and Disaster Detection. S Garske, K Heidler, L Mou, X Zhu AGU Fall Meeting Abstracts 2023 (1147), GC23H-1147, 2023 | | 2023 |
| Open-Source Imaging Spectroscopy for The Remote Sensing Practitioner Y Mao, C Betters, S Garske, BJ Evans, I Cairns AGU Fall Meeting Abstracts 2023 (601), IN13D-0601, 2023 | | 2023 |
| Initial Application of An Open Source Hyperspectral Imaging Package (OpenHSI) for Do-It-Yourself Applications Y Mao, C Betters, S Garske, I Cairns, S Leon-Saval AGU Fall Meeting Abstracts 2021, GC15B-0697, 2021 | | 2021 |
| Active Learning Segmentation for 3D LiDAR Point Clouds: A Case Study on Australian Forest Regions. S Garske, M Bryson AGU Fall Meeting Abstracts 2019, IN21B-13, 2019 | | 2019 |
