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.