Mixture-of-Experts in Remote Sensing: A Survey

This is a literature survey paper (3 days old, 0 stars, 0 forks, no velocity) published on arXiv. It reviews existing MoE techniques and their application to remote sensing—a domain-specific synthesis rather than a novel algorithmic or methodological contribution. The paper has no reference implementation, deployable artifact, or composable code. It is a theoretical/conceptual contribution for knowledge consolidation in an emerging intersection (MoE + remote sensing). As a survey: (1) it cannot be 'used' in systems—it is read and cited; (2) it has no defensibility or market risk because it is not a product, tool, or deployable system; (3) platform domination and market consolidation risks are inapplicable to academic literature. The score of 1 reflects that this is purely educational/archival content with no independent technical moat, user base, or switching costs. Displacement is 'unlikely' because surveys are not competitive products—they become outdated as the field evolves, but are not 'displaced' by competitors. The 3 forks likely represent researchers exploring the survey's references or creating derivative review documents, not adoption as a reusable system.