References of "Verly, Jacques"
     in
Bookmark and Share    
Peer Reviewed
See detailApplication of space-time adaptive processing (STAP) to conformal arrays
Ries, Philippe; Lapierre, Fabian D.; Verly, Jacques ULg

Conference (2004)

Detailed reference viewed: 5 (0 ULg)
Peer Reviewed
See detailCanonical framework for describing suboptimum methods for radar STAP
De Grève, Sébastien; Lapierre, Fabian D.; Verly, Jacques ULg

Conference (2004)

Detailed reference viewed: 7 (0 ULg)
Peer Reviewed
See detailRange-dependence compensation in bistatic radar STAP
Lapierre, Fabian D.; Verly, Jacques ULg

Conference (2004)

Detailed reference viewed: 3 (0 ULg)
Peer Reviewed
See detailEvaluation of a method for estimating configuration parameters in bistatic radars using directive antennas
Neyt, Xavier; Lapierre, Fabian D.; Verly, Jacques ULg

Conference (2004)

Detailed reference viewed: 4 (0 ULg)
Peer Reviewed
See detailModelling surgical cuts, retractions, and resections via Extended Finite Element Method
Vigneron, Lara M.; Verly, Jacques ULg; Warfield, Simon K.

Conference (2004)

Detailed reference viewed: 7 (0 ULg)
Peer Reviewed
See detailOn Extended Finite Element Method (XFEM) for modelling of organ deformations associated with surgical cuts
Vigneron, Lara M.; Warfield, Simon K.; Verly, Jacques ULg

Conference (2004)

Detailed reference viewed: 11 (2 ULg)
Peer Reviewed
See detailNonrigid registration and multimodality image fusion for 3D image-guided neurosurgery
Verly, Jacques ULg; Vigneron, Lara M.; Mercenier, Julien et al

Conference (2004)

Detailed reference viewed: 8 (1 ULg)
Peer Reviewed
See detailCanonical framework for describing suboptimum radar space-time adaptive processing (STAP) techniques
De Grève, Sébastien; Lapierre, Fabian D.; Verly, Jacques ULg

Conference (2004)

Detailed reference viewed: 4 (2 ULg)
Peer Reviewed
See detailNonrigid registration and multimodality image fusion for 3D image-guided neurochirurgical planning and navigation
Verly, Jacques ULg; Vigneron, Lara M.; Petitjean, Nicolas et al

Conference (2004)

Detailed reference viewed: 12 (0 ULg)
Peer Reviewed
See detailRobust Incremental Rectification of Sports Video Sequences
Hayet, Jean-Bernard; Piater, Justus ULg; Verly, Jacques ULg

in Proceedings of the British Machine Vision Conference (2004)

Detailed reference viewed: 33 (0 ULg)
Peer Reviewed
See detailIncremental Rectification of Sports Fields in Video Streams With Application to Soccer
Hayet, Jean-Bernard; Piater, Justus ULg; Verly, Jacques ULg

in Advanced Concepts for Intelligent Vision Systems (2004)

Detailed reference viewed: 29 (2 ULg)
Full Text
Peer Reviewed
See detailNew Solutions to the Problem of Range Dependence in Bistatic STAP Radars
Lapierre, Fabian; Van Droogenbroeck, Marc ULg; Verly, Jacques ULg

in IEEE Radar Conference 2003, Proceedings (2003, May)

We address the problem of detecting slow-moving <br />targets using a space-time adaptive processing (STAP) radar. <br />The construction of optimum weights at each range implies <br />the estimation of ... [more ▼]

We address the problem of detecting slow-moving <br />targets using a space-time adaptive processing (STAP) radar. <br />The construction of optimum weights at each range implies <br />the estimation of the clutter covariance matrix. This is typically <br />done by straight averaging of neighboring data snapshots. <br />However, in bistatic configurations, these snapshots are rangedependent. <br />As a result, straight averaging results in poor performance. <br />After reviewing existing methods for handling the <br />range-dependence, we present new methods exploiting the precise <br />shape of the bistatic direction-Doppler curves. [less ▲]

Detailed reference viewed: 48 (4 ULg)
Full Text
Peer Reviewed
See detailNew methods for handling the range dependence of the clutter spectrum in non-sidelooking monostatic STAP radars
Lapierre, Fabian; Van Droogenbroeck, Marc ULg; Verly, Jacques ULg

in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Proceedings, Volume 5 (2003, April)

We address the problem of detecting slow-moving targets using a non-sideloking monostatic space-time adaptive processing (STAP) radar. The construction of optimum weights at each range implies the ... [more ▼]

We address the problem of detecting slow-moving targets using a non-sideloking monostatic space-time adaptive processing (STAP) radar. The construction of optimum weights at each range implies the estimation of the clutter covariance matrix. This is typically done by straight averaging of neighboring data snapshots. The range-dependence of these snapshots generally results in poor performance. We present two new methods that handle the rangedependence by exploiting the geometry of the direction-Doppler curves. [less ▲]

Detailed reference viewed: 33 (8 ULg)