References of "Lesturgie, Marc"
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See detailAutomatic target recognition with passive bistatic radars, with applications to the detection of anomalies in the civilian air traffic
Pisane, Jonathan ULg; Azarian, Sylvain; Lesturgie, Marc et al

Conference (2013, April 19)

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See detailTarget classification in bistatic low frequency radar
Pisane, Jonathan ULg; Azarian, Sylvain; Lesturgie, Marc et al

Scientific conference (2012, September 24)

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See detailPassive radar testbed and preliminary experiments in recognition of non-cooperative aircraft intruding into controlled airspace
Pisane, Jonathan ULg; Azarian, Sylvain; Lesturgie, Marc et al

Conference (2012, September 14)

We consider the automatic classification of aircraft observed with a passive radar, thus using illuminators of opportunity. We deployed a testbed and developed classification algorithms. Preliminary tests ... [more ▼]

We consider the automatic classification of aircraft observed with a passive radar, thus using illuminators of opportunity. We deployed a testbed and developed classification algorithms. Preliminary tests show a correct recognition rate of 72%. [less ▲]

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See detailAutomatic real-time collection of RCS of airplanes in a real bistatic low-frequency configuration using a software defined passive radar based on illuminators of opportunity
Pisane, Jonathan ULg; Azarian, Sylvain; Lesturgie, Marc et al

in Proceedings of the 2012 IEEE Radar Conference (2012, May)

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See detailTarget classification system based on the characterization of targets by subspaces
Pisane, Jonathan ULg; Lesturgie, Marc; Verly, Jacques ULg

in Proceedings of 2011 IEEE CIE International Conference on Radar (2011, October)

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See detailPassive target classification based on low-frequency bistatic backscattering coefficients
Pisane, Jonathan ULg; Lesturgie, Marc; Verly, Jacques ULg

Conference (2010, June)

In this paper, we describe a new automatic target recognition method for classifying targets according to their bistatic backscattering coefficients. The classification model is based on the construction of ... [more ▼]

In this paper, we describe a new automatic target recognition method for classifying targets according to their bistatic backscattering coefficients. The classification model is based on the construction of subspaces, one per target class. Results show an overall correct classification rate of about 83%, indicating that our method seems to be valid. Further improvements of the algorithm are also discussed. [less ▲]

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See detailRange-dependence compensation in airborne bistatic STAP radar for partially-calibrated conformal antenna arrays
Ries, Philippe; Lapierre, Fabian D.; Lesturgie, Marc et al

Conference (2008)

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See detailHigh-resolution clutter-power estimation for range-dependence compensation in conformal-array STAP
Ries, Philippe; Lapierre, Fabian D.; Lesturgie, Marc et al

Conference (2008)

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See detailKnowledge-aided Array Calibration for Registration-based Range-dependence Compensation in Airborne STAP Radar with Conformal Antenna Arrays
Ries, Philippe; Lesturgie, Marc; Lapierre, Fabian D. et al

Conference (2007)

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See detailNew methodology for generating realistic data for evaluation of performance of radar STAP algorithms
Ries, Philippe; Tey, Shuwen; Verly, Jacques ULg et al

Conference (2007)

Detailed reference viewed: 5 (0 ULg)