A Quadtree Algorithm For High Squint Sar Imaging

IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET(2007)

引用 0|浏览3
暂无评分
摘要
In this paper, a quadtree algorithm is used for high squint SAR image reconstruction. It is very difficult for current SAR-imaging algorithms to be used directly in high-squint configurations. This is due to the large range-cell migration and the nonnegligible cubic-phase term in the signal. Every preceding problem is eliminated by using backprojection at the expense of substantially greater processing time. The quadtree image formation technique is a computationally efficient approximation to standard convolution backprojection algorithm. A quantitative analysis and simulations show that this algorithm can process the SAR data with a high squint angle.
更多
查看译文
关键词
synthetic aperture radar, imaging algorithm, convolution back-projection algorithm, quadtree
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要