Abstract: In order to improve reconnaissance capability of UAVs, an image fusion technology of unmanned aerial vehicle(UAV) borne opto-electronic and SAR based on wavelet transform is proposed. Firstly image registration source is generated by time registration algorithm, and image feature points are extracted by SIFT algorithm. Then BBF algorithm is used to calculate matching point set, and image registration is done according to perspective of matching point set. Finally registration image fusion is achieved by wavelet transform algorithm. Results show that fusion image preserves 95.7% of details (entropy) of opto-electronic image, which is 1.52 times higher than average gradient of opto-electronic image, and opto-electronic image target area contrast is enhanced and random noise is reduced. Compared to SAR image, fusion image information is increased by 1.44 times.