eess.SP · 2026-07-27 · No. 66

Signal Processing, 2026-07-27.

1 new papers in eess.SP. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery

    Khalid El-Darymli, Christoph H. Gierull, Katerina Biron, Weimin Huang

    eess.SP · cs.AI · cs.LG

    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 a RADARSAT-2 dataset containing 208,191 verified ships. The DSPP model not only strives for predictive accuracy but also characterizes the uncertainty inherent in the intricate relationships among...

    arxiv.org/abs/2607.21745 · PDF

This edition is part of The Daily Abstract — eess.SP archive. Subscribe to receive these in your inbox each morning, automatically translated to Spanish, with reply-to-PDF: arxivdaily.ignorelist.com.

Colophon Set in Georgia, with system sans for interface chrome and a monospaced stack for code and paper identifiers. Sole accent: amber #D99C5E. Built and served on an always-free VM. The masthead is set 14% letterspaced because newspapers do that and it works.