Research on Target Recognition and Algorithm Application Based on Machine Vision

Abstract

The assessment of low altitude airspace safety capacity has long been a challenge for air traffi c control departments. Based
on this, the study introduces the theory of average mutual information, a powerful mathematical tool, and creatively establishes a fl ight
collision risk coupling model. This model not only considers the infl uence of a single risk factor, but also deeply explores the interaction
and coupling effects between different risk factors, revealing how risks are intertwined and amplified within the system, providing a
more accurate perspective for risk prevention and control. Based on this, this article proposes a new solution approach. A low altitude
airspace security capacity model based on risk level standards was constructed by combining the previous risk assessment model with the
characteristics of airspace usage.