基于码分复用的超空间分辨率成像技术

在遥感类光电成像系统中,光学镜头可实现较高空间分辨率,而光电探测器件空间分辨率不足,焦面图像的采样不满足Whittaker-Shannon抽样定理,频谱之间的混叠导致实际分辨率下降。基于此问题,提出了一种通过编码技术标识来自物空间的不同频率,再通过像空间的解码来消除频谱混叠的影响,进而实现超分辨率成像的方法。该方法在光路中没有微镜扫描等机械运动部件,同时具备在一定程度上降低噪声的特点。文中对频谱编码实现超分辨率的机理进行了仿真,依据仿真模型和结果对影响频谱编码效果进行了相关分析。

Geometric Super Resolution by Code Division Multiplexing Technology

In remote sensing imaging systems, optical systems realize high space resolution. However, resolution of the overall optical systems including the detector is limited by Couple Charged Device (CCD) nonzero pixel size. The image sampled by the detector might not meet the requiring of the sample principle of Whittaker-Shannon, which would induce the frequency aliasing. In the frequency field, the different frequency image could be coded by a special designed orthogonally coded, then, the sampled image could be transformed to frequency field and decoded by the designed code, and the frequency should be no-lose. In this scheme neither the CCD nor additional elements are moved, and the noise which caused by the optical system should be depressed. The mechanism of the super-resolution by code division multiplexing was simulated and the result of the simulation was analyzed.