ONERA SAR facilities

Plessis, Olivier Ruault du; Nouvel, Jean-Francois; Baqué, Rémi; Bonin, Gregory; Dreuillet, Philippe; Coulombeix, Colette; Oriot, Hélène

doi:10.1109/maes.2011.6070278

Cited by 17 publications

(3 citation statements)

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“…In the last years, an increasing interest toward Synthetic Aperture Radar (SAR) systems [1] mounted onboard aerial platforms, such as airplanes [2][3][4][5][6], helicopters [7], unmanned aerial vehicles (UAVs) [8,9] and drones [10,11], is registered [12]. This is mainly due to the high operative flexibility and relatively low operative costs of these platforms.…”

Section: Introductionmentioning

confidence: 99%

On the Frequency Sweep Rate Estimation in Airborne FMCW SAR Systems

et al. 2020

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Use of Frequency Modulated Continuous Wave (FMCW) Synthetic Aperture Radar (SAR) systems requires to accurately know the electronic parameters of the system. In particular, the use of an incorrect value of the Frequency Sweep Rate (FSR) introduces geometric distortions in the focused images. Recently, a method, that we name FSR Estimate Through Corner reflectors (FSRETC), has been proposed to estimate the FSR value actually employed by the radar. The method is based on the use of the SAR image focused with the available erroneous FSR. Moreover, it exploits a number of Corner Reflectors (CRs) deployed over the illuminated area. In this work, we provide an assessment of the capabilities of the FSRETC algorithm. The overall analysis is performed through the use of a real dataset consisting of 10 acquisitions carried out in 2018 (5 acquisitions) and 2019 (5 acquisitions) with an airborne FMCW SAR system. The presented experimental analysis shows that even with a single acquisition, use of two CRs sufficiently far from each other in the range direction, allows achieving an accurate estimate of the searched FSR. Moreover, it is shown that the obtained estimate is very stable over the time. Therefore, the overall procedure can be applied only once, since the estimated values can be safely used for the subsequent missions, at least for the time interval considered in the work, that is, 14 months. In addition, the presented results pose the basis for an enhanced measurement strategy that allows effective application of the FSRETC algorithm through the use of only one CR.

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Section: Introductionmentioning

confidence: 99%

On the Frequency Sweep Rate Estimation in Airborne FMCW SAR Systems

et al. 2020

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“…Examples of such systems are the C-/X-Band F-SAR [12], the X-Band PAMIR [13], the X-/Ku-Band RAMSES [14], the X-Band SETHI [15], the X-Band OrbiSAR [9] and the Ka-Band MEMPHIS [16][17][18][19][20]. As a matter of fact, in these systems the InSAR baseline can be as small as required by the geometrical constraints imposed by small airborne platforms.…”

Section: Introductionmentioning

confidence: 99%

The InSAeS4 Airborne X-Band Interferometric SAR System: A First Assessment on Its Imaging and Topographic Mapping Capabilities

Perna

Esposito

Amaral³

et al. 2016

Remote Sensing

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We present in this work a first assessment of the imaging and topographic mapping capabilities of the InSAeS4 system, which is a single-pass interferometric airborne X-Band Synthetic Aperture Radar (SAR). In particular, we first provide a brief description of the InSAeS4 sensor. Then, we discuss the results of our analysis on the SAR and interferometric SAR products relevant to the first flight-test campaign. More specifically, we have exploited as reference the GPS measurements relevant to nine Corner Reflectors (CRs) deployed over the illuminated area during the campaign and a laser scanner Digital Elevation Model (DEM). From the analysis carried out on the CRs we achieved a mean geometric resolution, for the SAR products, of about 0.14 m in azimuth and 0.49 m in range, a positioning misalignment with standard deviation of 0.07 m in range and 0.08 m in azimuth, and a height error with standard deviation of 0.51 m. From the comparison with the laser scanner DEM we estimated a height error with standard deviation of 1.57 m.

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“…In the open literature two experimental platforms dispose of the largest bandwidths in X-band: SETHI of ONERA [1] and PAMIR of Fraunhofer FHR [2,3]. Whereas with SETHI an operational bandwidth of 1.5 GHz was demonstrated, until 2008 PAMIR was equipped with 1.8 GHz bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Ultra-high resolution airborne SAR imaging of vegetation and man-made objects based on 40% relative bandwidth in X-band

Brenner

2012

2012 IEEE International Geoscience and Remote Sensing Symposium

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The latest upgrade of the airborne X-band SAR/GMTI sensor PAMIR of Fraunhofer FHR to a simultaneous bandwidth of 3.6 GHz according to a relative bandwidth of 40 % enables ultra-high resolution capabilities in SAR imaging. The actual sensor specification is described and some examples of SAR images with urban and rural scenarios offering a geometrical resolution down to 4 cm times 1.5 cm (range; azimuth) are presented

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ONERA SAR facilities

Cited by 17 publications

References 0 publications

On the Frequency Sweep Rate Estimation in Airborne FMCW SAR Systems

On the Frequency Sweep Rate Estimation in Airborne FMCW SAR Systems

The InSAeS4 Airborne X-Band Interferometric SAR System: A First Assessment on Its Imaging and Topographic Mapping Capabilities

Ultra-high resolution airborne SAR imaging of vegetation and man-made objects based on 40% relative bandwidth in X-band

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