Abstract: Shadows play an important role in our understanding of imagery especially the remote sensing imagery. According to the color features of shadow in the color aerial images, a new approach is proposed to extract shadow from color aerial images based on the Dempster-Shafer (D-S) evidence theory. Firstly three different feature descriptions of shadow in RGB and HIS spaces are introduced, then the image is segmented based on Mean Shift method, the color features of the segmented regions are computed and the basic probability assignment function (BPAF) of each segment is defined respectively. By using of the complementary characteristics of such three color features, the D-S rule is applied to the fusion of BPAF. Finally, the BPAF fusion is utilized to find the conclusive shadow segments. Experimental image analysis results demonstrate that the proposed method is effective and robust.