El proper dilluns dia 20 d'abril tindrà lloc la conferència titulada Improvements to SAR Coherent Change Detection (CCD) over mountainous terrain per part del Dr. Daniel Andre, de l'Universitat de Cranfield (UK).
Data: dilluns 20/04/2015
Hora: 10h30 a 11h30
Lloc: Sala de Juntes, Edifici D4, Departament de Teoria del Senyal i Comunicacions, Campus Nord UPC
Podeu trobar més informació d'aquesta presentació a l'abstract i a la biography:
Improvements to SAR Coherent Change Detection (CCD) over mountainous terrain
Conventional Synthetic Aperture Radar (SAR) Coherent Change Detection (CCD) has been found to be of great utility in detecting changes that occur on the ground. The CCD procedure involves performing repeat pass radar collections to form a coherence product, where ground disturbances can induce detectable incoherence. However there is usually a difference in the radar collection geometry which can lead to incoherent energy noise entering the CCD. When sensing flat terrain in a far-field regime, the incoherence due to collection geometry difference can be removed through a conventional global Fourier image support trimming process. However, it has been found that when the terrain is either in a near-field regime or contains non-flat topography, the optimal trimming process is substantially more involved, so much so that a new per-pixel SAR bistatic back-projection imaging algorithm has been developed. The new algorithm removes incoherent energy from the bistatic SAR CCD collection pair on a per-pixel basis according to the local radar geometry and topography, leaving a higher coherence CCD product. In order to validate the approach, change detection measurements were conducted with GB-SAR, a ground-based indoor radar measurement facility.
Bio: Dr Daniel Andre
Daniel works in the School of Defence and Security at Cranfield University. He has been involved in numerous ATR related SAR feature extraction, understanding and simulation research projects during the course of his radar career based first at DERA, QinetiQ, Dstl and now Cranfield University. He has experience in the areas of polarimetry, multipath, vibrometry and RCS prediction at both low and high frequency bands, and in related 3D bistatic aspects and image formation. His most recent developments are in the field of InSAR, where he developed a novel understanding of SAR image coherence and speckle over mountainous terrain. In this area he developed a new image formation algorithm designed to remove topographically related incoherence from interferograms and Coherent Change Detection (CCD) products, winning a UK civil service scientist innovation award (The John Benjamin Memorial prize). This work has recently been extended to bistatic and near field SAR geometries.