作者: Michael I. Duersch , David G. Long
DOI:
关键词: Adverse conditions 、 Side looking airborne radar 、 Image formation 、 Computer vision 、 Synthetic aperture radar 、 Computer science 、 Artificial intelligence 、 Autofocus 、 Inverse synthetic aperture radar
摘要: In synthetic aperture radar (SAR), many adverse conditions may cause errors in the raw phase-history data. Autofocus methods are commonly used SAR to mitigate effects of these problems. Over years, types autofocus have algorithms been created, however, each has implicit assumptions restricting their use. The backprojection image formation algorithm places few restrictions on imaging, thus it is desirable an that similarly unconstrained. This paper presents a versatile method accordant with backprojection.