Smoke screen has become one of the main jamming methods in modern battlefields due to their advantages of a simple deployment method and a high cost-effectiveness ratio. However, there are fewer methods for assessing the jamming effectiveness of smoke screen and lack of quantitative assessment means. In this paper, a method for evaluating the effectiveness of smoke screen jamming based on image features (HD-EEMSSJ, HOG & Depth-Effectiveness evaluation of smoke screen jamming) is proposed, and real experimental data are obtained and the evaluation effect of the method is tested through the field test. Starting from the guide tracking mechanism, the direction gradient histogram features, depth features, cosine similarity and brightness features of the image are weighted and fused to obtain a quantitative evaluation result HD-EEMSSJ index, which can more accurately and keenly reflect the dynamic interference of the smoke screen, and provide a reference basis for the grading of the interference effect in the later stage. The results of multiple sets of experimental data verification show that the HD-EEMSSJ index provides better assessment than the traditional image quality assessment methods PSNR, RFSIM, SSIM and the EEMSSJ method proposed by the authors, with accuracy improvements of 533.15%, 170.2%, 26.4% and 3.25%, respectively.