On Fusion Algorithm of Infrared and Radar Target Detection and Recognition of Unmanned Surface Vehicle

Aiming at the problems of unmanned surface vehicle (USV) target detection and recognition at sea, a detection and recognition algorithm based on wavelet domain image fusion method is proposed. The algorithm performs the target feature analysis of the acquired image, efficiently completes the preprocessing of denoising. Guarantee the detection effect of the target image and improve the fusion image quality. The infrared image is denoised by an ideal high-pass filter method, and the image is edge-detected by the Sobel operator. Combining wavelet transform and median filter to denoise radar target image, edge detection of images with Canny operator. Finally, wavelet domain fusion algorithm is adopted for infrared radar image fusion. The simulation results show that compared with the current classical infrared radar image fusion method, the fusion quality of infrared radar image in this paper is better. Improve the success rate of detection and recognition of sea targets, and provide valuable information for unmanned collision avoidance or further identification.