Faculty profile

Costas Armenakis

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Professor EmeritusESSEYork University

Costas Armenakis

Professor Emeritus

ESSE

York University

Toronto, Ontario, Canada

Supervision signals

Emeritus professors are retired and rarely take new students.
6 publications in the last five years, latest in 2026.
Senior (last) author on 3 recent papers, a sign of leading a research group.

These signals come from public records, including federal and provincial funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

2,662

Citations

Collaborators

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

Profiles and links

University Profile

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Signals and details

Research

Read how they describe their research on their York University profile.

Photogrammetric engineering and remote sensing mapping Unmanned aerial mapping systems for geomatics Robotic mapping Algorithmic aspects for rapid processing of UAS data Data co-registration Image sequence for mapping and scene analysis Spatial awareness and intelligence Risk assessment and disaster management

Latest papers

Domain-Adapted Supervised Learning for Tree Species Mapping Using UAV Multispectral Data
Forests · 2026 · senior author
Estimation of surface nitrogen dioxide (NO 2 ) using TEMPO satellite data and machine learning
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2026
Machine and deep learning methods for satellite-derived bathymetric mapping in Canadian coastal waters
GEOMATICA · 2025 · senior author

All 96 publications

96 publications.

Domain-Adapted Supervised Learning for Tree Species Mapping Using UAV Multispectral Data

Sowmya Natesan, Udayalakshmi Vepakomma, Costas Armenakis

Forests20261 citationsSenior authorOpen Access

DOI: 10.3390/f17070738

Estimation of surface nitrogen dioxide (NO 2 ) using TEMPO satellite data and machine learning

Neda Kolahi, Costas Armenakis, Mark Gordon

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences2026Open Access

DOI: 10.5194/isprs-annals-xi-3-2026-157-2026

Machine and deep learning methods for satellite-derived bathymetric mapping in Canadian coastal waters

Chifuniro Ngalande, Costas Armenakis

GEOMATICA2025Senior authorOpen Access

DOI: 10.1016/j.geomat.2025.100088

DeepCovPG:Deep-Learning-based Dynamic Covariance Prediction in Pose Graphs for Ultra-Wideband-Aided UAV Positioning

Zahra Arjmandi, Jungwon Kang, Gunho Sohn, Costas Armenakis, Mozhdeh Shahbazi

20242 citations

DOI: 10.1109/case59546.2024.10711533

Active Reinforcement Learning for the Semantic Segmentation of Urban Images

Mahya Jodeiri Rad, Costas Armenakis

Canadian Journal of Remote Sensing20242 citationsSenior authorOpen Access

DOI: 10.1080/07038992.2024.2374788

UAV in the advent of the twenties: Where we stand and what is next

Francesco Nex, Costas Armenakis, Michael Cramer, Davide Antonio Cucci, M. Gerke, Eija Honkavaara, Antero Kukko, Claudio Persello, Jan Škaloud

ISPRS Journal of Photogrammetry and Remote Sensing2022308 citationsOpen Access

DOI: 10.1016/j.isprsjprs.2021.12.006

Modeling Vessel Behaviours by Clustering AIS Data Using Optimized DBSCAN

Xuyang Han, Costas Armenakis, Mojgan Jadidi

Sustainability202165 citationsOpen Access

DOI: 10.3390/su13158162

Performance Improvement of Encoder/Decoder-Based CNN Architectures for Change Detection from Very High-Resolution Satellite Imagery

Evangelos Bousias Alexakis, Costas Armenakis

Canadian Journal of Remote Sensing20217 citationsSenior author

DOI: 10.1080/07038992.2021.1922880

EVALUATION OF SEMI-SUPERVISED LEARNING FOR CNN-BASED CHANGE DETECTION

Evangelos Bousias Alexakis, Costas Armenakis

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences20214 citationsSenior authorOpen Access

DOI: 10.5194/isprs-archives-xliii-b3-2021-829-2021

Individual tree species identification using Dense Convolutional Network (DenseNet) on multitemporal RGB images from UAV

Sowmya Natesan, Costas Armenakis, Udayalakshmi Vepakomma

Journal of Unmanned Vehicle Systems202063 citationsOpen Access

DOI: 10.1139/juvs-2020-0014

Profile data last refreshed on September 29, 2026 from the university directory, publication records and public research funding records.

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Costas Armenakis

Research

Latest papers

Domain-Adapted Supervised Learning for Tree Species Mapping Using UAV Multispectral Data

Estimation of surface nitrogen dioxide (NO 2 ) using TEMPO satellite data and machine learning

Machine and deep learning methods for satellite-derived bathymetric mapping in Canadian coastal waters

DeepCovPG:Deep-Learning-based Dynamic Covariance Prediction in Pose Graphs for Ultra-Wideband-Aided UAV Positioning

Active Reinforcement Learning for the Semantic Segmentation of Urban Images

UAV in the advent of the twenties: Where we stand and what is next

Modeling Vessel Behaviours by Clustering AIS Data Using Optimized DBSCAN

Performance Improvement of Encoder/Decoder-Based CNN Architectures for Change Detection from Very High-Resolution Satellite Imagery

EVALUATION OF SEMI-SUPERVISED LEARNING FOR CNN-BASED CHANGE DETECTION

Individual tree species identification using Dense Convolutional Network (DenseNet) on multitemporal RGB images from UAV

Frequent collaborators

Constadinos Armenakis

Gunho Sohn

Djemel Ziou

Sunil Bisnath

Songnian Li

Emmanuel Stefanakis

Jianguo Wang

Shengrui Wang

Jean-Luc Vaillancourt

Jonathan Li

Regina Lee

Jean Vaillancourt

Chris Hopkinson

Mark Gordon

Spiros Pagiatakis

Christopher Hopkinson

Mozhdeh Shahbazi

Matthew Kyan