Comparison of subsampling strategies for UAV-mounted subsurface radar imaging systems

Maria Garcia-Fernandez, Guillermo Alvarez-Narciandi, Yuri Alvarez-Lopez, Fernando Las Heras

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
19 Downloads (Pure)

Abstract

This paper compares two subsampling strategies for UAV-mounted subsurface radar imaging systems, which feature non-uniform acquisitions that have an impact on the quality of the resulting radar image. The first method is based on selecting those samples that meet four conditions related to the UAV flight speed and stability. In contrast, the second relies on dividing the observation domain in a grid of cells, and selecting only a maximum of a given number of samples within each cell. The impact of both techniques on the image quality is assessed by means of measurements.

Original languageEnglish
Title of host publication2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)- Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1162-1163
Number of pages2
ISBN (Electronic)9781665496582
ISBN (Print)9781665496599
DOIs
Publication statusPublished - 21 Sept 2022
EventIEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting 2022 - Denver, United States
Duration: 10 Jul 202215 Jul 2022

Publication series

NameIEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)- Proceedings
ISSN (Print)1522-3965
ISSN (Electronic)1947-1491

Conference

ConferenceIEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting 2022
Abbreviated titleAP-S/URSI 2022
Country/TerritoryUnited States
CityDenver
Period10/07/202215/07/2022

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This work has been supported by Ministry of Defense of Spain and University of Oviedo (contract SAFE-DRONE), by Ministry of Science and Innovation (RTI2018-095825-B-I00 and PID2021-122697OB-I00) and by Ministry of Universities of Spain and European Union - NextGenerationEU-(MU-21-UP2021-030-53519863 and MU-21-UP2021-030-71667225), and by Gobierno del Principado de Asturias/FEDER (AYUD/2021/51706).

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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