Natesan S, U Vepakomma, C Armenakis (2026). Domain‑Adapted Supervised Learning for Tree Species Mapping using UAV Multispectral Data, Forests Journal 2026, 17, 738, https://doi.org/10.3390/f17070738
Kolahi N, C Armenakis, M Gordon (2026). Estimation of surface nitrogen dioxide (NO₂) using TEMPO satellite data and machine learning, 2026 ISPRS Congress Annals.
Ngalande C, C Armenakis (2025). Machine and deep learning methods for satellite-derived bathymetric mapping in Canadian Coastal Waters, Geomatica Journal 77 (2025) 100088, https://doi.org/10.1016/j.geomat.2025.100088
Jodeiri Rad M, C Armenakis (2024). Active reinforcement learning for the semantic segmentation of urban images, Canadian Journal of Remote Sensing, 50:1, 2374788, https://doi: 10.1080/07038992.2024.2374788
Arjmandi Z, J Kang, G Sohn, C Armenakis, M Shahbazi (2024). DeepCovPG: Deep-Learning-based Dynamic Covariance Prediction in Pose Graphs for Ultra-Wideband Aided UAV Positioning, 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE 2024).
Nex F, C Armenakis, M Cramer, D Cucci, M Gerke, E Honkavaara, A Kukko, C Persello, J Skaloud (2022). UAV in the advent of the twenties: where we stand and what is next, ISPRS Journal of Photogrammetry and Remote Sensing, (184):215-242, https://doi.org/10.1016/j.isprsjprs.2021.12.006.
Bousias Alexakis E, C Armenakis (2022). Improving CNN-based Building Semantic Segmentation using Object Boundaries, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 41–48, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-41-2022.
Jodeiri Rad M, C Armenakis (2022). Active reinforcement learning for the semantic segmentation of images captured by mobile sensors, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 593–599, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-593-2022.
Han, X, C Armenakis, M Jadidi (2021). Modeling Vessel Behaviours by Clustering AIS Data Using Optimized DBSCAN, Sustainability Journal, 13(15), 8162, https://doi.org/10.3390/su13158162.
Bousias Alexakis E, C Armenakis (2021). Performance Improvement of Encoder/Decoder-Based CNN Architectures for Change Detection from Very High-Resolution Satellite Imagery, Canadian Journal of Remote Sensing, 47:2, 309-336, https://doi.org/10.1080/07038992.2021.1922880.
Bousias-Alexakis E, C Armenakis (2021). Evaluation of Semi-Supervised Learning for CNN-based Change Detection, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Volume XLIII-B3-2021, 2021, pp.829-836, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-829-2021.
Bousias-Alexakis E, C Armenakis (2020). Evaluation of UNet and UNet++ architectures in high resolution image change detection applications, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1507–1514, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1507-2020.
Natesan S, C. Armenakis, U Vepakomma (2020). Individual Tree Species Identification using Dense Convolutional Network (DenseNet) on multi-temporal RGB images from UAV, Journal of Unmanned Vehicle Systems, 8(4):310-333, https://doi.org/10.1139/juvs-2020-0014.
Armenakis C, P Patias, Editors (2019). Unmanned Vehicle Systems for Geomatics: Towards Robotic Mapping, Whittles Publishing, 288p.
Armenakis C, J Li-Chee-Ming, R A Persad (2019). Chapter 2: Fundamentals for UVS data collection and processing, in Unmanned Vehicle Systems for Geomatics: Towards Robotic Mapping, Editors C Armenakis and P Patias, Whittles Publishing, 288p.
Armenakis C (2019). Chapter 1: Introduction, in Unmanned Vehicle Systems for Geomatics: Towards Robotic Mapping, Editors C Armenakis and P Patias, Whittles Publishing, 288p.
