This paper considers the exploitation of navigation satellite systems as opportunity transmitters for bistatic and multistatic synthetic aperture radar (SAR). The simultaneous availability of multiple satellites over a scene of interest at different viewing angles allows multistatic SAR acquisitions using a single receiver on or near the ground. The resulting spatial diversity could be used to drastically improve image resolution or to enhance image information space. To exploit the availability of multiple satellites, two data fusion approaches are here considered. In the former, point features of the single images obtained from different perspectives are extracted and then combined, whereas in the latter, a multistatic image is first obtained by combining the single channel data at the image level and then the point features are extracted. This is achieved by considering ad hoc CLEAN-like techniques. These techniques have been developed on both the analytical and simulation levels and experimentally verified with real GNSS-based SAR imagery. The techniques described here are not limited to GNSS-based SAR but may be applied to any multistatic SAR system.

Spatial resolution improvement in GNSS-based SAR using multistatic acquisitions and feature extraction / Santi, Fabrizio; Bucciarelli, Marta; Pastina, Debora; Antoniou, Michail; Cherniakov, Mikhail. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - STAMPA. - 54:10(2016), pp. 6217-6231. [10.1109/TGRS.2016.2583784]

Spatial resolution improvement in GNSS-based SAR using multistatic acquisitions and feature extraction

SANTI, FABRIZIO
;
PASTINA, Debora;
2016

Abstract

This paper considers the exploitation of navigation satellite systems as opportunity transmitters for bistatic and multistatic synthetic aperture radar (SAR). The simultaneous availability of multiple satellites over a scene of interest at different viewing angles allows multistatic SAR acquisitions using a single receiver on or near the ground. The resulting spatial diversity could be used to drastically improve image resolution or to enhance image information space. To exploit the availability of multiple satellites, two data fusion approaches are here considered. In the former, point features of the single images obtained from different perspectives are extracted and then combined, whereas in the latter, a multistatic image is first obtained by combining the single channel data at the image level and then the point features are extracted. This is achieved by considering ad hoc CLEAN-like techniques. These techniques have been developed on both the analytical and simulation levels and experimentally verified with real GNSS-based SAR imagery. The techniques described here are not limited to GNSS-based SAR but may be applied to any multistatic SAR system.
2016
bistatic synthetic aperture radar (BSAR); CLEAN; feature extraction; global navigation satellite system (GNSS)-based SAR; multistatic SAR (MSAR); passive SAR; Earth and Planetary Sciences (all); Electrical and Electronic Engineering
01 Pubblicazione su rivista::01a Articolo in rivista
Spatial resolution improvement in GNSS-based SAR using multistatic acquisitions and feature extraction / Santi, Fabrizio; Bucciarelli, Marta; Pastina, Debora; Antoniou, Michail; Cherniakov, Mikhail. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - STAMPA. - 54:10(2016), pp. 6217-6231. [10.1109/TGRS.2016.2583784]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/903862
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