Target range finding method and apparatus based on binocular synthetic aperture focus image

Abstract

The invention discloses a target range finding method based on a binocular synthetic aperture focus image. The method comprises the following steps: first taking a symmetric center of two area arrays identical in structures as a benchmark position, respectively carrying out the optical synthetic aperture imaging for a scene in which a target stays, and respectively obtaining a group of synthetic aperture images corresponding to different focusing distances; then taking the difference between binocular matching position compatibility information amount and binocular mismatch position compatibility information amount as a detection amount, finding out a maximum focusing distance of the detection amount, if the binocular matching position compatibility information amount of the focusing distance is greater than a preset compatibility information amount threshold value, the focusing distance is a target distance. The invention also discloses a target range finding apparatus based on the binocular synthetic aperture focus image. Compared with the prior art, the common-mode error and misfocus imaging interference can be effectively inhibited, and the synthetic aperture focus image range finding performance is improved.

Description

technical field [0001] The invention relates to a ranging method, in particular to a target ranging method and device based on a binocular synthetic aperture focusing image. Background technique [0002] There are many methods to measure the target distance, such as point ranging method based on laser pulse time difference, depth acquisition based on amplitude modulated wave phase difference, geometric optics focusing method, Moire topology technology, holographic interferometry, Fresnel diffraction technology and structured light law etc. Ultrasound is also commonly used to obtain depth information. Computer stereo vision technology has been widely used in many fields in recent years. The basic method is to observe the same scene from two or more viewpoints, obtain a set of images under different viewpoints, obtain the parallax between corresponding pixels in different images, and then measure the depth information of the target in the scene through triangulation calculat...

AI Technical Summary

Problems solved by technology

However, it is difficult to obtain accurate synthetic aperture focusing images, especially for large apertures, and it is even more difficult to focus on moving image sequences; the interference of defocused image patches cannot be ignored; in addition, synthetic aperture stacked images have the potential for super-resolution reconstruction , and the existing monocular ranging is difficult to utilize this potential

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