arxiv
PublishedJuly 27, 2026 at 4:00 AM
—neutral
Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery
Publisher summary· verbatim
arXiv:2607.21745v1 Announce Type: cross Abstract: Radar cross-section (RCS) modeling is foundational to advancing the utility and sensitivity of spaceborne radar systems. This study introduces a deep sigma-point process (DSPP) model for predicting RCS in synthetic aperture radar (SAR) imagery using
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivPhotonic reservoir computing with complex networks4harxivXS-VLA: Coupling Coarse-grained Spatial Distillation with Latent Flow Matching for Lightweight Robotic Control4harxivAgentic Permissions Policy Algebra for Taint Confinement in LLM Agents4harxivBeyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks4hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗