单量估计法单光子激光透雾成像

Conventional lidar cannot be used to extract a target signal from the strong backscatter noise in fog-penetration imaging because of the inherent detection and reception sensitivity limitations of lidar. Therefore, achieving the fog penetration effect is difficult. To address this problem, a novel single-quantile estimation method was proposed for the fog-penetration imaging algorithm based on Geiger-mode avalanche-photodiode lidar. According to the Geiger-mode trigger detection model, the backscattering distribution was obtained through the maximum likelihood estimation of the echo photon. Fog-penetration imaging was then achieved through subsequent extraction of the target echo position and backscattering noise suppression. The experimental platform of laser fog-penetration imaging was developed, and fog-penetration imaging under various fog conditions were performed. The results revealed that the single-estimation method outperformed the peak and double-estimation methods. When the attenuation coefficient was 0.11 m^-1, the distance information recovery of the peak method increased by 8.26% and the target recovery degree decreased by 16.22%. When the attenuation coefficient was 0.86 m^-1, the distance information recovery of the peak method increased by 86.86%, and the target recovery degree increased by 20.51%. When the attenuation coefficient was 2.37 m^-1, the distance information recovery of the peak method increased by 253.19%, and the target recovery degree increased by 53.44%. A high degree of target restoration was achieved in signal-level dehazing by using the single-quantity estimation method.