Cazcarra-Bes, Victor und Pardini, Matteo und Papathanassiou, Konstantinos (2020) Definition of Tomographic SAR Configurations for Forest Structure Applications at L-Band. IEEE Geoscience and Remote Sensing Letters. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LGRS.2020.3027439. ISSN 1545-598X.
PDF
- Postprintversion (akzeptierte Manuskriptversion)
6MB |
Offizielle URL: https://ieeexplore.ieee.org/document/9224742
Kurzfassung
Synthetic aperture radar tomography (TomoSAR) at lower frequencies allows the reconstruction of the 3-D radar reflectivity of volume scatterers allowing access to their physical 3-D structure by means of multiangular SAR acquisitions. The performance of the reconstruction critically depends on the number and (spatial) distribution of the tomographic acquisitions (tracks). This dependence is addressed in this letter with respect to forest applications (volume scatters) at L-band. The letter discusses the optimum definition of tomographic configurations based on the peak sidelobe level (PSL) of the point spread function (PSF). For demonstration, a tomographic data set consisting of 15 acquisitions acquired by the DLR's F-SAR system at L-band over the Traunstein test site in Germany is used, complemented by airborne LiDAR measurements. Three different reconstruction algorithms (Fourier beamforming, Capon beamforming, and compressive sensing) are implemented and compared to each other for scenarios with a reduced number of acquisitions. Although the limitation of the specific forest, the results show the potential of using the PSL of the PSF to define tomographic configurations optimized for forest structure applications.
elib-URL des Eintrags: | https://elib.dlr.de/136699/ | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | Definition of Tomographic SAR Configurations for Forest Structure Applications at L-Band | ||||||||||||||||
Autoren: |
| ||||||||||||||||
Datum: | 15 Oktober 2020 | ||||||||||||||||
Erschienen in: | IEEE Geoscience and Remote Sensing Letters | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
DOI: | 10.1109/LGRS.2020.3027439 | ||||||||||||||||
Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
ISSN: | 1545-598X | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Baseline configuration, forest structure, L-band, spatial distribution of acquisitions, synthetic aperture radar tomography (TomoSAR) | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben Multi-dimensionale SAR-Auswertung (alt) | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte | ||||||||||||||||
Hinterlegt von: | Cazcarra-Bes, Victor | ||||||||||||||||
Hinterlegt am: | 19 Okt 2020 08:50 | ||||||||||||||||
Letzte Änderung: | 29 Feb 2024 19:25 |
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags