Implementation code of the paper "MS-DGCNN++: Multi-Scale Dynamic Graph Convolution with Scale-Dependent Normalization for Robust LiDAR Tree Species Classification"
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Updated
May 9, 2026 - Python
Implementation code of the paper "MS-DGCNN++: Multi-Scale Dynamic Graph Convolution with Scale-Dependent Normalization for Robust LiDAR Tree Species Classification"
Transformers and LSTM for Tree Species Classification from Satellite Image Time Series
My code for my master thesis - includes a automatic pipeline to evaluate the clustering capabilities of single tree crown images.
Tree Species Segmentation in High-Resolution Aerial Imagery
Morphometrics of buds of common forest species
This project is done in view of 4-weeks Shell-Edunet Skills4Future Internship. For Week - 2 By~ Samuel Lazar
AI-based allergenic tree species detection and classification in urban environments using aerial imagery and LiDAR data.
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