Space observation dim target detection of star image background

Detection of dim target in star image background poses significant challenges due to the presence of noise and variations in object intensities. This paper presents an improvement to conventional pipeline filtering algorithms through the implementation of energy accumulation technique. By accumulating energy from multiple sources, the improved precision achieved in identifying dim targets within intricate celestial environments. The improvement also integrates background suppression and wavelet transform denoising methods to enhance detection efficacy. Through a combination of comprehensive simulations and empirical validation, the enhanced algorithm demonstrates higher success rates and greater robustness in dim target detection compared to conventional methods. The results indicate that the improved algorithm offers enhanced precision in identifying dim target in star image background, thereby advancing capabilities for astronomical research and space exploration endeavors.