传统星载SAR系统受最小天线面积条件的限制,其横向分辨率与测绘带宽度相矛盾,无法同时实现大测绘带和高横向分辨率.分布式小卫星SAR系统可使这一矛盾得到解决.当分布式小卫星的构形为三维超大立体阵时,还可以同时获得地面场景的高度信息.然而,三维超大立体阵构形的分布式小卫星InSAR系统对数据处理提出了很多挑战.其中,数据配准(宽带阵问题)和自适应处理时样本的选取问题是两大关键挑战.本文的研究目的在于解决分布式小卫星InSAR系统所面临的这些问题,以实现大测绘带、高分辨率和高精度的三维地形重构.仿真实验结果证明了本文方法的有效性.
The azimuth resolution of conventional spaceborne SAR systems is in conflict with swath width because of the minimum antenna area constraint.The conflict can be solved by using distributed small satellite SAR systems,thus achieving a wide swath and high resolution SAR image of the observed scene.Furthermore,if the flying formation of the distributed small satellites has large cross-track baselines(called InSAR formation),we can also achieve the terrain height information of the scene simultaneously. However,many challenges arise in constellation InSAR system. In particular, envelope registration and sample selection for adaptive processing are the two main challenges. This paper investigates data processing approaches to retrieve the three-dimensional terrain for the distributed small satellite InSAR systems. The effectiveness of the proposed approach is verified by simulated data.