mztmzt/F2HNN

F2HNN is a specialized academic research repository representing the implementation of a specific paper in the field of remote sensing. With only 30 stars and zero velocity over nearly 4.5 years, it functions strictly as a static reference implementation rather than a living software project. Its defensibility is near zero because it lacks a community, maintenance, or unique data moat; any researcher in the field could replicate the architecture from the paper. While the use of hypergraphs for modeling non-linear pixel relationships was a novel combination at the time of publication, the field has since moved toward more performant architectures like Vision Transformers (ViT) and Masked Autoencoders (MAE) for hyperspectral data. Frontier labs are unlikely to compete directly as the market for niche hyperspectral kernels is too small, but the project is effectively obsolete in the face of modern foundation models for Earth observation (e.g., IBM/NASA's Prithvi). The displacement horizon is set to 6 months because newer, more efficient methods already exist and are easier to integrate into modern ML pipelines.