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

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Spatial resolution improvement in GNSS-based SAR using multi-static acquisitions and feature extraction. / Santi, Fabrizio; Bucciarelli, Marta; Pastina, Debora; Antoniou, Michail; Cherniakov, Mikhail.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 10, 7515203, 10.2016, p. 6217 - 6231.

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@article{77cf3187f9ba47e59c94ed29996c65ba,
title = "Spatial resolution improvement in GNSS-based SAR using multi-static acquisitions and feature extraction",
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.",
keywords = "Bistatic synthetic aperture radar (BSAR), CLEAN, feature extraction, global navigation satellite system (GNSS)-based SAR, multistatic SAR (MSAR), Passive SAR",
author = "Fabrizio Santi and Marta Bucciarelli and Debora Pastina and Michail Antoniou and Mikhail Cherniakov",
year = "2016",
month = oct,
doi = "10.1109/TGRS.2016.2583784",
language = "English",
volume = "54",
pages = "6217 -- 6231",
journal = "IEEE Transactions on Geoscience and Remote Sensing",
issn = "0196-2892",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
number = "10",

}

RIS

TY - JOUR

T1 - Spatial resolution improvement in GNSS-based SAR using multi-static acquisitions and feature extraction

AU - Santi, Fabrizio

AU - Bucciarelli, Marta

AU - Pastina, Debora

AU - Antoniou, Michail

AU - Cherniakov, Mikhail

PY - 2016/10

Y1 - 2016/10

N2 - 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.

AB - 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.

KW - Bistatic synthetic aperture radar (BSAR)

KW - CLEAN

KW - feature extraction

KW - global navigation satellite system (GNSS)-based SAR

KW - multistatic SAR (MSAR)

KW - Passive SAR

UR - http://www.scopus.com/inward/record.url?scp=84978881234&partnerID=8YFLogxK

U2 - 10.1109/TGRS.2016.2583784

DO - 10.1109/TGRS.2016.2583784

M3 - Article

AN - SCOPUS:84978881234

VL - 54

SP - 6217

EP - 6231

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

SN - 0196-2892

IS - 10

M1 - 7515203

ER -