Research on adaptive optimization of unmanned aerial vehicle transmission line inspection imaging under strong and weak light conditions

This study focuses on the problem of image quality degradation caused by drastic changes in light intensity during unmanned aerial vehicle inspection of power transmission lines, and proposes a three-level adaptive optimization framework of light perception, parameter adjustment, and image enhancement. This framework precisely identifies the light conditions through a multi-feature fusion model (with an accuracy rate of 97.3% for light scene classification), dynamically optimizes the core parame