Abstract
An innovative approach, mainly featured by progressive iterations of partitioning and focusing, to processing very-high-resolution spaceborne synthetic aperture radar (SAR) data is presented in this article. Due to long integration time endured during data acquisition as well as large scene extension being common to the advanced SAR systems, spatial dependence of range histories may be severe, especially is the terrain undulation severe, and must be properly dealt with. In this article, after deriving the exact two dimensional spectrum for an curved satellite orbit, we focus the entire echo data through several iterations of partitioning and focusing. Besides, a new technique aiming at enhance the focusing quality of the final data blocks is also presented. Finally, the well-focused final image blocks are recombined into the entire image. Owing to the feature of partitioning, the spatial dependence of many factors can be easily accommodated. The methodology is validated by processing results on simulated and real SAR data.
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