Conference Time: 22nd Dec 2024, 11:51:37am AST
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Poster Session 1: Artificial Intelligence Methods and Models - Part 1
Time:
Tuesday, 11/June/2024:
4:40pm - 5:40pm
Location: SUB McInnes Room
Poster stand numbers: 01-09
Presentations
Improving the resolution of multispectral satellite imagery using Deep Learning-based Pansharpening
K. Roy , S. Homayouni, Dr. Y. Zhang
INRS, Canada
Spatially Informed Tabular Deep Learning for Accurate Building Extraction from UAV Imagery: A GEOBIA Approach
M. Hossain, Dr. D. Chen
Queen's University, Canada
An Automated Method for Pavement Surface Distress Evaluation
D. Satheesan , M. Talib, Dr. S. Li, Dr. A. X. Yuan
Toronto Metropolitan University, Canada
Discrete Wavelet Transformation for De-noising of AI Classified Ground Data
H. Steiner1 , M. L. Ethier2 , O. Brown2 , O. Pylypenko 1
1 GeoBC, Canada; 2 University of Victoria, BC, Canada
Estimating Biases in TROPOMI concentration methane product using a machine learning algorithm
M. Marjani 1 , M. Mahdianpari1,2 , E. W Gill1 , F. Mohammadimanesh2
1 Memorial University of Newfoundland, Canada; 2 C-CORE
Evaluation of Hybrid Satellite On-Board Computer Architectures for Edge-Compute and Machine-Learning Focussed Applications
A. Amellal , J. Langille , M. Seto
Dalhousie University, Canada
Non-Cooperative Vessel Detection using Multispectral Satellite Imaging and Machine Learning Applied towards Onboard Satellite Dark Vessel Detection
K. J. M. Earle , Dr. M. L. Seto
Dalhousie University
Conifer Tree Classification using Detectron2 and ConvNext from UAV Imagery Data
R. Sharma , K. F. Zhang
University of fraser valley, Canada
