It has recently been demonstrated that Interferometrie ISAR is able to reconstruct 3D point-like target images. However, such 3D reconstructions are generally composed of a small amount of points as the number of scatterers that can be accurately extracted from the received signal and placed in a 3D space is limited by the SNR associated to each of them. This lack of information may cause difficulties for targets identification and classification. To overcome this issue, a 3D reconstruction method based on the use of multi-Temporal and multistatic data that makes use of an incoherent 3D image fusion technique is presented in this paper.
Incoherent fusion of 3D InISAR images using multi-Temporal and multi-static data
SALVETTI, FEDERICA;GIUSTI, ELISA;STAGLIANO', DANIELE;MARTORELLA, MARCO
2016-01-01
Abstract
It has recently been demonstrated that Interferometrie ISAR is able to reconstruct 3D point-like target images. However, such 3D reconstructions are generally composed of a small amount of points as the number of scatterers that can be accurately extracted from the received signal and placed in a 3D space is limited by the SNR associated to each of them. This lack of information may cause difficulties for targets identification and classification. To overcome this issue, a 3D reconstruction method based on the use of multi-Temporal and multistatic data that makes use of an incoherent 3D image fusion technique is presented in this paper.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
