Automatic Space Debris Extraction Channel Based on Large Field of view Photoelectric Detection System

Abstract Space target detection is the core technology of space surveillance system. The large field of view telescope has strong space detection capabilities, and its realization also faces many challenges. We propose an automatic extraction algorithm for space debris, aiming to automatically extract information about space targets. Our method is mainly divided into three parts. In the first stage, image denoising processing is carried out for various noise interference in the image. The proposed wavelet transform and total variational hybrid filtering algorithm are applied to eliminate noise, which reduces the impact of noise on target detection and greatly retains target information. In the second stage, we propose an improved morphological operator to eliminate uneven background. The third stage uses Hough transform to obtain candidate debris targets. These images were taken during an observation campaign, the observatory is located in Jilin. Experimental results show that the target detection algorithm proposed in this paper can effectively extract space target information and solve the problem of space target detection for large-field telescopes.