The invention relates to a multi-angle SAR image fusion method based on tone statistical characteristic classification. The invention provides a novel multi-angle SAR image fusion imaging algorithm, that is, a multi-angle SAR image fusion method based on tone statistical characteristic classification. According to rules of direct correlation of a tone H component of an RGB pseudo color image based on various-visual-angle synthesis in HIS transformation space with highlighting degrees of pixels at corresponding positions of all layers and dependence of all pixel essential colors on brightness of component pixels of all layers at corresponding positions, overlapped regions of all view-angle SAR images are distinguished by using a tonal component H of an RGB pseudo-color synthesis image and a classification threshold is set by using the tonal component H to carry out filtering processing on all layers, thereby achieving an objective of eliminating or reducing an overlapped region in a multi-angle SAR fusion image and improving the detection probability of the SAR system on the target. According to the multi-angle SAR image fusion method, the fusion algorithm can be implement simply and the operation becomes simple; and an adverse effect on target detection by phenomena of overlapping, and shadow of a single-visual-angle SAR image can be eliminated.