Volume Structure Retrieval over Vegetated Areas Using a Pair of Synthetic Aperture Radar Images with Wide Fractional Bandwidth
Kim S, Krieger G, Villano M (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2024 Kleinheubach Conference, KHB 2024
Event location: Miltenberg, DEU
ISBN: 9783948571122
DOI: 10.23919/IEEECONF64570.2024.10738997
Abstract
This paper presents a novel method which uses the frequency-dependent coherence of interferometric synthetic aperture radar (InSAR) data to invert the volume structure of vegetated areas. The method uses a pair of synthetic aperture radar (SAR) images with wide fractional bandwidths, which are available from radars mounted on drones. The random-volume-over-ground (RVoG) model, which assumes a homogeneous volume over a rough surface, is widely used in the InSAR remote sensing community to characterize semi-transparent media such as forests and vegetation. Semi-transparent media assuming RVoG scenarios are inverted using frequency-dependent coherence measurements. A method to generate simulated radar data for RVoG scenarios is presented and the inversion results are discussed.
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Germany (DE)How to cite
APA:
Kim, S., Krieger, G., & Villano, M. (2024). Volume Structure Retrieval over Vegetated Areas Using a Pair of Synthetic Aperture Radar Images with Wide Fractional Bandwidth. In 2024 Kleinheubach Conference, KHB 2024. Miltenberg, DEU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Kim, Sumin, Gerhard Krieger, and Michelangelo Villano. "Volume Structure Retrieval over Vegetated Areas Using a Pair of Synthetic Aperture Radar Images with Wide Fractional Bandwidth." Proceedings of the 2024 Kleinheubach Conference, KHB 2024, Miltenberg, DEU Institute of Electrical and Electronics Engineers Inc., 2024.
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