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 optical remote sensing systems, a super-resolution remote sensing technique based on line-array detectors dislocation imaging is proposed. The dislocation arrangement of line-array detectors is presented and the super-resolution reconstruction algorithm is introduced to post-process the dislocated low-resolution images. A cost function is built based on the optical camera imaging theory. In the case of super-resolution factor is 2, the simulation experiments are conducted and the reconstruction methods are applied. Experimental results show that when four dislocated line-array detectors are deployed, the modulation transfer function(MTF) value at the equivalent Nyquist frequency of the reconstructed image is only 0.01 using the traditional interpolation, and the projection method while the MTF value at the same frequency is 0.28 using the proposed regularized reconstruction method. Besides, compared to the single line-array case with the MTF of 0.13 at the real Nyquist frequency, the proposed method also has a great promotion. Both image visual effect and statistical results of MTF validate the effectiveness of the proposed technique. This technology has great application value in the field of remote sensing imaging.