Ku-Band SAR-Drone System and Methodology for Repeat-Pass Interferometry
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.
Authors
- Marc Lort Cuenca
- Giuseppe Centolanza (ORCID: https://orcid.org/0009-0004-8640-8687)
- Rubén Iglesias
- Luis Yam (ORCID: https://orcid.org/0009-0008-6473-0148)
- Eduardo Makhoul (ORCID: https://orcid.org/0000-0003-0393-0302)
- Azadeh Faridi (ORCID: https://orcid.org/0000-0002-0235-510X)
- Gerard Masalias (ORCID: https://orcid.org/0009-0008-9590-4382)
- Gerard Ruiz-Carregal (ORCID: https://orcid.org/0009-0000-2236-6298)
- Javier Duro (ORCID: https://orcid.org/0009-0009-5630-922X)
- Dani Monells (ORCID: https://orcid.org/0009-0001-4552-1307)
- Álex González (ORCID: https://orcid.org/0009-0003-0390-7804)
- Antonio Heredia (ORCID: https://orcid.org/0009-0001-6186-2953)
- Albert Gili-Zaragoza
Institutions
- APS Technology (United States) (US)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Remote Sensing
- Published
- 2024-10-31
- DOI
- https://doi.org/10.3390/rs16214069
- Citations
- 4
- Primary Topic
- Arctic and Antarctic ice dynamics
- Type
- article
- Field-Weighted Citation Impact
- 1.51