Preprint
Aug 2026
ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink
ELMZip formulates the fitting process as a convex least-squares problem using random-feature single-layer networks, thereby eliminating the need for computationally expensive backpropagation and achieves significant compression efficiency while maintaining high reconstruction fidelity.
Woojin Cho, Junghwan Park, S. Sim et al.
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