Remote six-dimensional night viewing method

Abstract

The invention provides a night viewing method, and particularly relates to a remote six-dimensional night viewing method. The night viewing method is achieved based on a range gating imaging module, a pulse laser device is adopted as an illuminating light source of the distance gating imaging module, a gating imaging device is adopted as an image sensor, space section imaging is achieved by controlling gating time delay between laser pulses generated by the pulse laser device and gating pulses generated by the gating imaging device, an information processing module is rebuilt based on two adjacent space sections through a range gating super-resolution three-dimensional imaging algorithm, and a target three-dimensional image is obtained. The method has the advantages of range gating imaging and fog, rain and snow breaking imaging at the same time, and the problem that remote three-dimensional video monitoring cannot be achieved in the existing night viewing technology can be effectively solved.

Description

technical field [0001] The invention relates to the field of optical technology, in particular to a long-distance six-dimensional night vision method. Background technique [0002] Currently, night vision imaging technologies mainly include low-light imaging, infrared thermal imaging, and laser imaging. Among them, low-light imaging and infrared thermal imaging are passive imaging technologies, and laser imaging is an active imaging technology. Low-light night vision needs the help of night sky light (such as starlight, moonlight, etc.) to detect and image the target, and it cannot work in complete darkness; thermal imaging mainly relies on the difference in thermal radiation between the target and the background environment to achieve target detection. However, the image resolution is low, lacks target detail information, and cannot penetrate glass imaging; laser imaging mainly uses laser as the lighting source to achieve effective detection of night targets. The image res...

AI Technical Summary

Problems solved by technology

At present, the technologies used for 3D monitoring mainly include binocular stereo vision imaging and TOF imaging, but both of them have the problem of short working distance, and the matching algorithm of the former is complicated, while the number of pixels of the latter is low, which cannot meet the application of long-distance important target monitoring demand, especially at night or in severe weather conditions such as fog, rain and snow

[0005] (2) Low-contrast target detection is difficult

[0006] When the target has spectral reflection characteristics and thermal infrared radiation characteristics consistent with the background, the target is a low-contrast target, and it is difficult to find it using conventional two-dimensional optical imaging and infrared imaging, which brings great difficulties to target identification, especially At night and under low-light and complex background conditions such as fog / rain / snow / smoke

[0007] (3) Unable to obtain color images

[0008] Traditional night vision images are mostly monochrome images, such as grayscale images, which are not conducive to the observation of targets, and the color level that the human eye can distinguish is hundreds of times the grayscale level

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