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Faculty of Engineering (Fredericton)
Department of Geodesy and Geomatics Engineering
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A Multi-Feature Fusion Using Deep Transfer Learning for Earthquake Building Damage Detection
Generating LoD2 City Models Using a Hybrid-Driven Approach: A Case Study for New Brunswick Urban Environment
Geodesy and Geomatics Engineering Lecture Notes
Geodesy and Geomatics Engineering Technical Reports
Multigranularity Multiclass-Layer Markov Random Field Model for Semantic Segmentation of Remote Sensing Images
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