During flight operations, aircraft induce atmospheric disturbances in adjacent environments through aerodynamic interactions between their geometric configurations and ambient air medium, creating spatially distinct density distribution characteristics that markedly differ from natural backgrounds. Given the positive correlation between atmospheric medium density and light scattering intensity, theoretical analysis suggests that detecting light scattering intensity signals in disturbed regions could map density distributions, thereby extracting features of aircraft-induced atmospheric disturbance density fields. Based on the concept of long-range aircraft detection through atmospheric disturbance density field characterization, this study proposes a novel remote sensing method for aircraft detection. Specifically, a three-dimensional tomographic imaging detection mode for scattered light in atmospheric disturbance regions is designed, and a comprehensive simulation framework encompassing the entire process of disturbance optical signal generation, transmission, and response is constructed. The study accomplishes the following tasks: (1) Critical challenges in imaging modulation transfer function (MTF) estimation under short-exposure conditions with laser pulse secondary scattering effects are resolved, and a photon scattering echo imaging simulation model for aircraft-induced disturbance density fields is established; (2) Scattering echo signal images from active light sources in disturbed density fields and differential images comparing disturbed/non-disturbed backgrounds are simulated, with systematic analysis of simulation results under varying system parameters. The research demonstrates that this simulation model can be applied to optimize detection system parameters, develop signal processing methods, and assess long-range detection capabilities. It provides both theoretical foundations and technical support for advancing aircraft detection technologies based on density disturbance characteristics.