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Small Multicopter-UAV-Based Radar Imaging: Performance Assessment for a Single Flight Track

Drone-borne Differential SAR Interferometry

Radaz Indústria e Comércio de Produtos Eletrônicos Ltda., São José dos Campos, José dos Campos 12244-000, Brazil
Wimmer Consulting, 84061 Ergoldsbach, Germany
School of Electrical and Computer Engineering, University of Campinas-UNICAMP, Campinas 13083-852, Brazil
School of Agricultural Engineering, University of Campinas-UNICAMP, Campinas 13083-875, Brazil
National Institute for Space Research–INPE, São José dos Campos 12227-010, Brazil
Author to whom correspondence should be addressed.
Received: 31 December 2019 / Revised: 16 February 2020 / Accepted: 17 February 2020 / Published: 29 February 2020
Differential synthetic aperture radar interferometry (DInSAR) has been widely applied since the pioneering space-borne experiment in 1989, and subsequently with the launch of the ERS-1 program in 1992. The DInSAR technique is well assessed in the case of space-borne SAR data, whereas in the case of data acquired from aerial platforms, such as airplanes, helicopters, and drones, the effective application of this technique is still a challenging task, mainly due to the limited accuracy of the information provided by the navigation systems mounted onboard the platforms. The first airborne DInSAR results for measuring ground displacement appeared in 2003 using L- and X-bands. DInSAR displacement results with long correlation time in P-band were published in 2011. This letter presents a SAR system and, to the best of our knowledge, the first accuracy assessment of the DInSAR technique using a drone-borne SAR in L-band. A deformation map is shown, and the accuracy and resolution of the methodology are presented and discussed. In particular, we have obtained an accuracy better than 1 cm for the measurement of the observed ground displacement. It is in the same order as that achieved with space-borne systems in C- and X-bands and the airborne systems in X-band. However, compared to these systems, we use here a much longer wavelength. Moreover, compared to the satellite experiments available in the literature and aimed at assessing the accuracy of the DInSAR technique, we use only two flight tracks with low time decorrelation effects and not a big data stack, which helps in reducing the atmospheric effects. View Full-Text
Keywords: differential interferometry; DInSAR; drone-borne radar; range-Doppler processor; corner reflector differential interferometry; DInSAR; drone-borne radar; range-Doppler processor; corner reflector
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MDPI and ACS Style

Luebeck, D.; Wimmer, C.; F. Moreira, L.; Alcântara, M.; Oré, G.; A. Góes, J.; P. Oliveira, L.; Teruel, B.; S. Bins, L.; H. Gabrielli, L.; Hernandez-Figueroa, H.E. Drone-borne Differential SAR Interferometry. Remote Sens. 2020, 12, 778.

AMA Style

Luebeck D, Wimmer C, F. Moreira L, Alcântara M, Oré G, A. Góes J, P. Oliveira L, Teruel B, S. Bins L, H. Gabrielli L, Hernandez-Figueroa HE. Drone-borne Differential SAR Interferometry. Remote Sensing. 2020; 12(5):778.

Chicago/Turabian Style

Luebeck, Dieter, Christian Wimmer, Laila F. Moreira, Marlon Alcântara, Gian Oré, Juliana A. Góes, Luciano P. Oliveira, Bárbara Teruel, Leonardo S. Bins, Lucas H. Gabrielli, and Hugo E. Hernandez-Figueroa. 2020. "Drone-borne Differential SAR Interferometry" Remote Sensing 12, no. 5: 778.

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