Current SAR imaging techniques assume that radar pulses are reflected from a scene by a single bounce event (reflection
from a sphere), or multiple bounces producing a fixed phase-centre (a trihedral). However, scattering is often more
complex; e.g. the pulse may reflect off the ground before interacting with a vehicle, leading to additional bright returns in
the image which are not located at the position of either bounce.
In this paper we use simulation to assess the affect of multipath on vehicle signatures and develop techniques for the
identification and removal of multipath returns from SAR imagery.
This paper considers the problem of target delineation in SAR images. A novel technique involving multiple active contours evolving simultaneously is developed and tested using real radar data. In particular, a technique referred to as multiple hypothesis delineation, in which contours can be in several states simultaneously, is developed and shown to lead to considerable improvement in convergence time and delineation accuracy. The technique is applied to two different SAR image applications, the delineation of multiple targets in close proximity, and the automatic estimation of building dimensions by delineation of shadows in a sequence of SAR images of an urban scene. Finally, the incorporation of the delineation algorithms in a software tool enabling rapid interactive building dimension estimation is briefly described.
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