Objects Recognition Methods Estimation in Application to Runway Pictures Taken in Poor Visibility Conditions

摘要

The paper covers the methods of objects recognition, which might be used in Enhanced Flight Vision Systems. Modern Flight Vision Systems designs focus on all-weather vision. Covered methods are estimated in application to runway pictures, taken in poor visibility conditions above and below the decision height, considering various characteristics. Results of this work are relevant to the tasks of avionics, computer vision and image processing.