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Medientyp:
E-Artikel
Titel:
Volume Structure Retrieval Using Drone-Based SAR Interferometry with Wide Fractional Bandwidth
Beteiligte:
Kim, Sumin;
Krieger, Gerhard;
Villano, Michelangelo
Erschienen:
MDPI AG, 2024
Erschienen in:Remote Sensing
Sprache:
Englisch
DOI:
10.3390/rs16081352
ISSN:
2072-4292
Entstehung:
Anmerkungen:
Beschreibung:
<jats:p>Synthetic aperture radar (SAR) interferometry (InSAR) is a well-established remote sensing technique capable of providing accurate topographic information of an area. Multiple scattering occurring at different heights within a single resolution cell, however, cannot be resolved using a single baseline and results in a degradation of the height accuracy. Techniques such as polarimetric InSAR and SAR tomography tackle this problem using additional measurements to obtain the three-dimensional structure of the volume. However, polarimetry-based methods assume orthogonal and deterministic scattering mechanisms and tomography requires numerous observations. This paper presents a novel approach to retrieving the three-dimensional structure of semitransparent media using wide fractional bandwidth InSAR. The frequency dependency of the InSAR coherence is exploited to retrieve the three-dimensional structure, assuming that signals with wide fractional bandwidth are available, as is the case for unmanned aerial vehicles (UAVs) or drones. As the extinction is, in general, frequency-dependent, a third observation may improve the inversion results. Simulations of different scenarios show that the frequency profile can be inverted to obtain information about the three-dimensional scattering structure. The acquired data also enable retrieval of the phase center depth as a function of frequency. This method allows for frequent and accurate monitoring of semitransparent targets, e.g., forests and vegetation, using a swarm of two or three drones.</jats:p>