论文部分内容阅读
随着对空中/空间目标实时高分辨探测成像的需求日益增长,利用新概念集群体制的微波遥感卫星实现该需求的方式越来越受到重视。针对目前和未来一段时间,我国遥感卫星组网构型呈现的稀疏随机典型特征,本文提出一种基于压缩感知理论的高分辨目标实时成像方法。该方法依托卫星自身特点(稀疏随机构型等约束条件),在不改变目前多颗在轨运行微波遥感卫星相对集群分布状态的前提下,为实现目标的高分辨实时探测提供了一条可能的途径。
With the increasing demand for real-time high-resolution aerial imaging of aerial / spatial targets, the way to realize this demand with microwave remote sensing satellites using the new concept cluster system has drawn more and more attention. Aiming at the sparse stochastic typical features of remote sensing satellite network in China at present and in the future, a high-resolution target real-time imaging method based on compressive sensing theory is proposed in this paper. The method relies on its own characteristics (sparse random configuration and other constraints), without changing the current multi-satellite orbiting microwave remote sensing satellite relative cluster distribution under the premise of achieving a high-resolution real-time target detection provides a possible way .