About Us
Our Mission
At satlabel, we're on a mission to revolutionize remote sensing data labeling. Our goal is to make the creation of training data for machine learning models faster and more efficient.
The Team
Dr. Peter Arlinghaus
Peter is a scientist at the Institute of Coastal Systems - Analysis and Modeling at Helmholtz-Zentrum Hereon. He specializes in numerical modeling and machine learning for coastal processes, combining hydrodynamic and morphodynamic models with biological influences. His expertise in unsupervised and semi-supervised machine learning methods for satellite imagery analysis brings valuable insights to satlabel's development.
With a unique background combining Physics (M.Sc.) and Biology (B.Sc.), he brings an interdisciplinary perspective to remote sensing and machine learning applications. His research focus on creating efficient benchmark datasets for satellite imagery and developing robust deep learning models aligns perfectly with satlabel's mission.
David Pogorzelski
David is a full-stack developer and machine learning engineer at Helmholtz-Zentrum Hereon. He specializes in developing AI-powered solutions for environmental monitoring and geospatial applications. His expertise in modern web technologies and deep learning architectures drives the technical innovation behind satlabel.
With a background in Computer Science and extensive experience in remote sensing applications, he focuses on creating intuitive tools that simplify complex workflows. His work on automated satellite imagery processing and interactive labeling systems has shaped satlabel's user-centric approach to data annotation.
Our Vision
We believe that creating high-quality training data shouldn't be a bottleneck in remote sensing projects. By combining modern web technologies with AI assistance, we're building tools that make labeling faster, more accurate, and more enjoyable.