Geometric Invariants for Radar Motion Estimation

Abstract

Image focusing techniques in SAR applications require accurate knowledge of the sensor locations to mitigate blurring effects. Because the imaging operators used to generate SAR images depend on the relative position of the transmit and receive platforms to the scene, any error in sensor posi tion measurements creates a mismatch between the imaging operator and the data. The mismatch manifests itself as blurring in the image. We propose to extend the fundamental geometric invariant theory to support near field, multistatic radar imaging.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 14, 2022
Source ID
FA95501910382

Entities

People

  • Matthew Ferrara

Organizations

  • Air Force Office of Scientific Research
  • Matrix Research (United States)
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Sensor Fusion and Tracking Systems.