We present an algorithm for the fast tomography of vegetation, based on a Radon mathematical setting and on the combined use of advanced processing algorithms (NonUniform FFTs) and hardware resources (Graphic Processing Units - GPUs). The algorithm performance is firstly numerically estimated, showing the favorable trade off between faithfulness and speed, and highlighting the convenience of the GPU implementation against that on CPU. Experimental results on anechoic chamber data complete the algorithm assessment.
NUFFT-based imaging of vegetation on graphic cards / Capozzoli, Amedeo; Curcio, Claudio; D'Elia, Giuseppe; A., Di Vico; Liseno, Angelo; Vinetti, Pietro. - STAMPA. - (2009), pp. 265-267. (Intervento presentato al convegno 7th Int. Conf. on Antenna Theory and Tech. tenutosi a L'viv, Ucraina nel Oct. 6-9, 2009).
NUFFT-based imaging of vegetation on graphic cards
CAPOZZOLI, AMEDEO;CURCIO, CLAUDIO;D'ELIA, GIUSEPPE;LISENO, ANGELO;VINETTI, PIETRO
2009
Abstract
We present an algorithm for the fast tomography of vegetation, based on a Radon mathematical setting and on the combined use of advanced processing algorithms (NonUniform FFTs) and hardware resources (Graphic Processing Units - GPUs). The algorithm performance is firstly numerically estimated, showing the favorable trade off between faithfulness and speed, and highlighting the convenience of the GPU implementation against that on CPU. Experimental results on anechoic chamber data complete the algorithm assessment.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
