针对推扫式遥感成像,基于压缩感知(CS)理论,提出一种利用低密度探测器获取高分辨率遥感图像的新方法。在推扫过程中,采用可编码的行间转移面阵电荷耦合器件(CCD)并使其工作于时间延迟积分(TDI)模式,在随机曝光控制电路的控制下实现对场景信息的编码感知;通过计算成像,从感知的数据中重构出高分辨率遥感图像。这种基于CCD-TDI模式编码感知的高分辨率遥感计算成像方法,可以增强成像分辨率和提高输出图像信噪比。仿真结果验证了本文方法的有效性。
Based on the compressive sensing(CS) theory,this paper presents a novel method for high-resolution remote sensing images with low-density sensors for push-broom imaging.During the whole imaging process,we employ the coded interline transfer progressive scan CCD and make it work in TDI pattern to accomplish coded sensing for scene information under the control of random exposure control circuit.The high-resolution remote sensing images can be reconstructed from sensed data via computational imaging.This proposed imaging strategy can enhance the resolution and improve the signal-to-noise ratio of output images.The simulation results also verify the effectiveness of this proposed method.