Incoherent fusion of 3D InISAR images using multi-temporal and multi-static data

Abstract

It has recently been demonstrated that Interferometric 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.