Remote Sensing (Oct 2024)

Ku-Band SAR-Drone System and Methodology for Repeat-Pass Interferometry

  • Gerard Ruiz-Carregal,
  • Marc Lort Cuenca,
  • Luis Yam,
  • Gerard Masalias,
  • Eduard Makhoul,
  • Rubén Iglesias,
  • Antonio Heredia,
  • Álex González,
  • Giuseppe Centolanza,
  • Albert Gili-Zaragoza,
  • Azadeh Faridi,
  • Dani Monells,
  • Javier Duro

DOI
https://doi.org/10.3390/rs16214069
Journal volume & issue
Vol. 16, no. 21
p. 4069

Abstract

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In recent years, drone-based Synthetic Aperture Radar (SAR) systems have emerged as flexible and cost-efficient solutions for detecting changes in the Earth’s surface, retrieving topographic data, or detecting ground displacement processes in localized areas, among other applications. These systems offer a unique combination of short and versatile revisit times and flexible acquisition geometries that are not achievable with space-borne, airborne, or ground-based SAR sensors. However, due to platform limitations and flight stability issues, they also present significant challenges regarding instrument design and data processing, particularly when generating interferometric repeat-pass datasets. This paper demonstrates the feasibility of repeat-pass interferometry using a Ku-band drone-based SAR system. The system integrates a dual-channel Ku-band Frequency Modulated Continuous Wave (FMCW) radar with cross-track single-pass interferometric capabilities, mounted on a drone platform. The proposed repeat-pass interferometric processing chain leverages an accurate Digital Elevation Model (DEM), generated from the single-pass interferograms, to precisely coregister the entire stack of acquisitions, thereby producing repeat-pass interferograms free from residual motion errors. The results underscore the potential of this system and the processing chain proposed for generating multi-temporal repeat-pass stacks suitable for repeat-pass applications.

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