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
Morphometrics of buds of common forest species
Tree Species Segmentation in High-Resolution Aerial Imagery
My code for my master thesis - includes a automatic pipeline to evaluate the clustering capabilities of single tree crown images.
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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