Scattering imaging is the frontier and hotspot in the field of optical computational imaging field. Speckle autocorrelation imaging has attracted increasingly attention due to its efficient, fast, and noninvasive characteristics. The physical basis of speckle autocorrelation imaging is optical memory effect, and the mathematical basis is speckle autocorrelation incoherent imaging model. The reconstruction quality is directly affected by the high quality of speckle autocorrelation extraction and the effective suppression of background. Due to the existence of optical transmission noise, external strong background interference, and detection noise, the contrast of speckle autocorrelation will be seriously reduced, and its fine structure will be submerged in the background and interference noise, reducing the quality of reconstruction and even leading to fail of reconstruction. To enhance the applicability of speckle autocorrelation imaging and to improve reconstruction quality under strong background noise, we propose a strategy based on background subtraction and bilateral filtering pretreatment combined with multi-frame stacking average method, to improve the performance of reconstruction. The natural environment field experiments are carried out, and the experimental results verify the proposed method can realize high quality reconstruction under strong background disturbance. The effectiveness of the method is verified by experiments for targets at different spectral bandwidths of illumination light and different distances, and the reconstruction quality is significantly improved. This study has certain reference significance for the non-darkroom application of scattering imaging technology and the related applications of imaging under weak light conditions.