Single Baseline 3-D Structure Retrieval Using Radar with Wide Fractional Bandwidth Mounted on Drones
Kim S, Pérez VM, Krieger G, Villano M (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 1255-1258
Conference Proceedings Title: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Event location: Munich, DEU
ISBN: 9783800762873
Abstract
Synthetic aperture radar (SAR) interferometry (InSAR) provides accurate topographic information of an area by using of a pair of SAR images. However, ambiguities arise in the case of volumetric media where multiple scattering occur in a single resolution cell. Polarimetry-based methods assume orthogonal and deterministic scattering mechanisms to resolve the ambiguity and obtain three-dimensional structure of the volume. SAR tomography use additional measurements which require numerous observations. An alternative approach is to use signals with wide fractional bandwidth and obtain the InSAR coherence over a wide range of vertical wavenumber with a single baseline. Signals with a wide fractional bandwidth is available from radars mounted on drones, which is a promising platform for local and frequent SAR remote sensing. A method to simulate radar data backscattered from semi-transparent media and the coherence estimation over a wide vertical wavenumber using a single baseline is presented. The coherence estimated from the simulated data can be used to demonstrate the single-baseline three-dimensional inversion method.
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Germany (DE)How to cite
APA:
Kim, S., Pérez, V.M., Krieger, G., & Villano, M. (2024). Single Baseline 3-D Structure Retrieval Using Radar with Wide Fractional Bandwidth Mounted on Drones. In Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR (pp. 1255-1258). Munich, DEU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Kim, Sumin, et al. "Single Baseline 3-D Structure Retrieval Using Radar with Wide Fractional Bandwidth Mounted on Drones." Proceedings of the 15th European Conference on Synthetic Aperture Radar, EUSAR 2024, Munich, DEU Institute of Electrical and Electronics Engineers Inc., 2024. 1255-1258.
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