56
J. Eur. Opt. Society-Rapid Publ. 22, 6( 2026)
Fig. 12. Analysis of simulation results for target detection at different depths in Jerlov II water and Jerlov 3C water,( a) simulated numbers of photoelectrons,( b) SNR of target signals,( c) extended detection range of different depths,( d) horizontal resolution of the scanning in x-axis of different depths.
a given time, thereby decreasing the overall detection efficiency. This compromise carries important scientific implications for the design and operation of oceanic scanning lidar systems for target detection. Firstly, it quantitatively links detection depth to the required lidar signal profiles integration, and offers a theoretical basis for estimating detection costs at varying depths. Secondly, it highlights the inherent constraint between detection depth and operational efficiency and emphasizes the balance of spatial resolution, scanning speed, and signal quality in system configuration. This understanding provides valuable guidance for making acquisition strategies to different targets and water environments.
6 Conclusion
Oceanic lidar is significant for detecting deeper water. In this study, we proposed a semi-analytic MC model of underwater target detection( MCT) and developed an airborne linear scanning oceanic lidar system( SOL) for model validation. The comparison is made between lidar equation signals and MC simulated signals to validate the correctness of our model. It turns out the mean relative error is less than 5 % within a depth of 50 m and is about 19.4 % within a depth of 100 m. By comparing the simulated twodimensional scanning signals with SOL’ s field target measurements, the measured results show the consistency of the target’ s position and the order of magnitude of photoelectrons. Then a series of simulations in Jerlov II water and Jerlov 3C water are made to study the detection capabilities of SOL. It turns out that, set SNR = 3 as the detection standard, the maximum target detection depths are 25.0 m in Jerlov II water and 9.2 m for a single profile. The definition of extended detection range is made, and how the maximum horizontal scanning resolution varies with depth is studied as well. Their relationships are conducive to balancing detection capabilities and scanning efficiency, providing a good reference for practical detection scenes. By exploring a range of representative simulation