为了提升光学遥感成像系统的空间分辨率,提出了基于线阵探测器错位成像的超分辨遥感技术,给出了线阵探测器错位排列方式以及获得错位低分辨率图像后的超分辨重建算法。根据光学相机成像原理,构建了代价函数用于正则化的迭代求解。实验中针对超分辨因子为2的情形,进行了错位成像仿真以及超分辨重建。实验结果表明,在采用4组线阵探测器错位的情况下,传统插值投影方法获得的重建图像在等效的奈奎斯特频率处,系统调制传递函数(MTF)计算值为0.01,而所提基于正则化的方法 MTF为0.28,相比原始单列探测器在奈奎斯特频率处MTF为0.13也有较大提升。无论是图像视觉效果还是MTF统计结果都验证了所提方法的有效性。该技术在遥感成像领域具有较大的工程应用价值。 In order to improve the spatial resolution of the optical remote sensing imaging system, a super-resolution remote sensing technique based on the linear array detector dislocation imaging is proposed. The dislocation array method of the array detector and the super-resolution reconstruction algorithm after obtaining the dislocation low-resolution image are given. According to the principle of optical camera imaging, a cost function is constructed for regularization iterative solution. In the experiment, the dislocation imaging simulation and super-resolution reconstruction were carried out in the case of super-resolution factor 2. Experimental results show that the MTF of the reconstructed image obtained by the traditional interpolation projection method at the equivalent Nyquist frequency is 0.01, The method based on regularization has a MTF of 0.28, which is much higher than that of original single-detector at a Nyquist frequency of 0.13. Both the visual effect of the image and the MTF statistical results verify the effectiveness of the proposed method. The technology in the field of remote sensing has a greater engineering value.