Aircraft landing vision enhancement method based on runway boundary enhancement

Abstract

The invention relates to an aircraft landing vision enhancement method based on runway boundary enhancement. The method comprises the steps that straight line features in a first-frame image of a forward looking infrared video are extracted through the line segment detection (LSD) algorithm, and line segments of runway boundaries are screened according to the intrinsic constraint conditions of the runway boundaries; two points are selected randomly from each of the line segments on the two runway boundaries, and rectangular sampling windows are selected with the points as the centers; the graded distribution features of the sampling windows are extracted, and parameters of a target classifier are initialized; all sampling points are tracked and positioned in following video frames, the runway boundaries are fitted according to the tracking results of all the sampling points, and finally a runway area and the runway boundaries are determined; finally, the runway boundaries are enhanced so as to improve the vision sensory ability of a pilot. By means of the method, inter-frame information of aircraft forward looking landing infrared video images can be fully utilized, the runway boundaries of an airport are tracked and recognized through the target tracking method, and the time performance of the vision enhancement algorithm is greatly improved while the recognition accuracy of the runway boundaries is guaranteed.

Description

Technical field [0001] The invention belongs to the technical field of computer vision image processing, and relates to an aircraft landing vision enhancement method based on runway boundary enhancement, and can be widely used in the fields of pilot vision enhancement systems (EVS), vehicle vision navigation and the like. Background technique [0002] When a pilot is landing, weather factors are one of the main reasons that affect his normal landing. Especially in bad weather such as fog, rain, snow, sand and dust, the visibility of the indicator signals on and around the runway becomes poor, resulting in The pilot's visual information about the runway and surrounding area is insufficient, and he cannot land normally. In addition, there are also problems with low light and low visibility when landing at night. Therefore, improving the visibility of the airport runway environment and enhancing the visual perception of pilots have important practical significance. [0003] Pilot vi...

AI Technical Summary

Problems solved by technology

[0004] In the past, there have been many studies on airport runway identification and positioning, but most of them are the application of some new theories or mathematical tools, and there are few effective methods for specific application requirements and practical

These methods all have some inherent defects: First, the previous studies mostly focused on two or several static images, while the landing process of the aircraft is a continuous video image, and compared with the static image, it also has more time-dimensional information

If the airport detection method for static images is still used to identify and locate frame by frame, then, first, the information on the time dimension (such as inter-frame correlation) cannot be fully utilized to guide identification and positioning; The speed is slow; moreover, the pilot's visual enhancement requires a good real-time processing algorithm to meet the application needs

Images