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

Authors :
Ruiz-Carregal, Gerard
Lort Cuenca, Marc
Yam, Luis
Masalias, Gerard
Makhoul, Eduard
Iglesias, Rubén
Heredia, Antonio
González, Álex
Centolanza, Giuseppe
Gili-Zaragoza, Albert
Faridi, Azadeh
Monells, Dani
Duro, Javier
Source :
Remote Sensing. Nov2024, Vol. 16 Issue 21, p4069. 23p.
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20724292
Volume :
16
Issue :
21
Database :
Academic Search Index
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
180782579
Full Text :
https://doi.org/10.3390/rs16214069