Multistatic 3D isar imaging of maritime targets

In this chapter, it has been shown that 3D image reconstruction using multiple views greatly enhances the system capability to reconstruct 3D non -cooperative target images effectively. The fusion of 3D point clouds obtained by using several temporal and a number of node acquisitions creates a more densely populated point cloud that better represents the target of interest and allows for important features to be extracted more accurately and reliably. In fact, every single 3D fusion may add important information about the target with respect to a single reconstruction. Moreover, new information about the target of interest can be uploaded, when available, in order to update recognition and classification databases based on 3D InISAR imaging systems. Although the implementation of ATR systems that make use of 3D reconstructions is still not in place, the results shown here are a strong encouragement to use this new technology to strengthen radar image -based ATR. Chapter Contents: • 9.1 Multiview 3D InISAR image fusion • 9.1.1 3D fusion • 9.2 Multiview 3D InISAR image fusion in experimental scenarios • 9.2.1 Application of multiview 3D to multitemporal data • 9.2.2 Application of multiview 3D to multistatic data • 9.2.3 Application of multiview 3D to a combination of multistatic and multitemporal data • 9.3 Conclusion • References.