Hi, I'm Olivier STOCKER. I publish my work on remote sensing here, focusing on applications ranging from urban spread monitoring with satellite imagery to railway 3D point cloud classification and boreal forest semantic segmentation. My research sits at the intersection of Computer Vision, Ecology, and Geomatics. This website serves as a platform to share research updates, code packages, and interactive visual materials for my papers.

Feel free to reach out via stocker.olivier@gmail.com.

PhD Research

My research aims to improve the automation of 3D point cloud semantic segmentation in boreal forest environments. Because ground-truth training data for these ecosystems is scarce, I investigate how computer-simulated LiDAR point clouds can enhance the training of deep learning architectures commonly used for semantic segmentation. Explore PhD Work & Visualizations.

Scientific Contributions

Journal & Conference Papers

Talks & Communications

Community & Academic Service

Awards & Grants

Open-Source work

Code

You can find my open-source developments on my GitHub:

Data

The open-access QC-SF dataset is available at qc-sf.org.

Past Projects

Selected previous projects and academic training:

Misc

Main image credit: Abass • Site editor: Link to creator • Keep in touch