Abstract
Ever since the invention of radar during the Second World War, scientists and engineers have strived not only to detect but also to identify unknown objects through the use of electromagnetic waves. Indeed, as pointed out in [19], “Target identification is the great unsolved problem. We detect almost everything; we identify nothing”. A significant step forward in the resolution of this problem occurred in the 1960's with the invention of synthetic aperture radar (SAR) and since that time numerous striking successes have been recorded in imaging by electromagnetic waves using SAR [1], [7]. However, as the demands of randar imaging have increased, the limitations of SAR have become increasingly apparent. These limitations arise from the fact that SAR is based on the “weak scattering” approximation and ignores polarisation effects. Indeed, such incorrect model assumptions have caused some scientists to ask “how (and if) he complications associated with radar based automatic target recognition can be surmounted” ([1], p. 5).
This research was supported in part by a grant from the Air Force Office of Scientific
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Colton, D., Monk, P. (2003). Herglotz Wave Functions in Inverse Electromagnetic Scattering Theory. In: Ainsworth, M., Davies, P., Duncan, D., Rynne, B., Martin, P. (eds) Topics in Computational Wave Propagation. Lecture Notes in Computational Science and Engineering, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55483-4_10
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