An Atmospheric Refractive Correction Method Based on Vision Measurement

Abstract

The invention provides an atmospheric refraction correction method based on visual measurement, and the method comprises the steps: obtaining a deformation monitoring cooperation mark and parameters thereof, obtaining the original displacement of a target, obtaining a target offset caused by atmospheric refraction, and obtaining the actual displacement of the target through the original displacement of the target and the target offset caused by atmospheric refraction after atmospheric refraction correction, wherein the step of obtaining the target offset caused by the atmospheric refraction comprises the substeps: obtaining an image distance, obtaining an object distance and calculating the target offset caused by atmospheric refraction. The method facilitates the obtaining of needed parameter values through a modular design. According to the specific technical scheme of the invention, the method just depends on the imaging features of a monitored object, does not need additional measurement instruments (a total station, a level, and a weather instrument) and additional manual operation, and greatly reduces the cost. The method has the capability of correcting the atmospheric refraction in real time, does not need a reference object, and has operation convenience and real-time performance.

Description

technical field [0001] The invention relates to the technical field of monitoring, in particular to an atmospheric refraction correction method based on visual measurement. Background technique [0002] The deformation monitoring technology based on computer vision is a new deformation monitoring technology that first uses the camera to obtain the target image, then uses the computer and related image processing algorithms, and then compares the changes of the target in the image sequence, and finally calculates the real displacement of the target. Since light is affected by objective conditions such as atmospheric temperature, air pressure, density, and humidity when it propagates in the air, the propagation path will change. resulting errors. Due to the complex meteorological conditions near the surface, there is not yet an effective error correction model. [0003] Methods in the prior art have: [0004] In triangulation, mainly by accurately measuring the height of th...

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Problems solved by technology

However, this method has the following defects: due to the cumbersome operation, generally only a limited number of measurements are carried out; the atmospheric refraction coefficient varies greatly with time, which cannot meet the needs of real-time or quasi-real-time monitoring; Reference point, for visual measurement, additional measuring equipment (leveling rod, level, etc.) is required, and additional labor costs are required

[0005] In visual measurement, by setting a stationary reference target next to the monitoring target, and using the changes of the reference target in the image sequence to correct the displacement of the monitoring target, this method makes good use of the advantages of visual measurement and can do to real-time correction, but it is difficult to find a stationary reference target within the field of view of the camera in practical applications, and the practicability is not strong

[0006] The atmospheric refraction correction method for measuring meteorological parameters uses a high-precision meteorological instrument to measure the temperature, humidity, atmospheric pressure and other parameters at the station and the measuring point, calculates the atmospheric refraction coefficient, and corrects the measurement results. This method requires the measurement system to be equipped with high-precision Meteorological instrument, poor practicability, and has the influence of meteorological representative error

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