The photoelectric theodolite is indispensable key equipment for conventionalweapon shooting range and an airborne photoelectric tracking, mainly used for groundor aerial target acquisition and tracking. Television system of photoelectric theodoliteon low contrast target acquisition recognition ability is a key technical index ofoverall equipment, directly affect the tracking performance of photoelectric theodoliteand distance. Therefore, it is very necessary for the photoelectric theodolite of lowcontrast target acquisition recognition ability assessment.But in the actual measurement, the test method for low contrast target photoelectrictheodolite has been very backward and rough; the detection range is also very tedious.Scientific and efficient which hinders the photoelectric measuring equipment testingwork in a certain extent. Detection method research and exploration of thephotoelectric theodolite two technical indexes is of practical significance, which isvaluable for the design and development of such products.This paper presents a method to detect the constrast and distance of thephotoelectric theodolite in laboratory. Firstly, the design of adjustable contrast targetdevice and technology index. Adjustable contrast target device through the large,small two integrating sphere are simulated under the background of sky backgroundand objectives. The contrast of target and background in the range of0~90%, theprecision of <1%stable contrast, spectral range is380nm~780nm, the maximumbackground radiance is43.3Wm-2str-1. And through the spectral radiance meterreal-time measurement and calibration of contrast, the photoelectric tracking and measuring equipment to capture the target detection and recognition ability. Then themodel and the experimental results of photoelectric theodolite indoor test contrast anddistance is given. The device from the search target to capture the needs of targetcontrast in the10%~13%, and from the stable tracking to lose the target when thecontrast is about5%; the role of equipment distance is about30km.Calibration device for contrast, analyzes the relationship between the imagecontrast and optical contrast, the calibration method of contrast adjustable contrasttarget device by using the improved BP neural network algorithm. The improvedalgorithm is100times faster than the classical BP algorithm accuracy, than thesteepest descent method is improved by10times, contrast maximum error is0.01%,to meet the need of device in contrast to the calibration. In addition, the PR735spectral radiometer in collimating lens, the collimation lens to object or backgroundimage is measured in PR735field of view, respectively to measure the brightness ofobject or background, through the calculation of contrast. This method contains thecollimating lens and the background environment effects on contrast, consistent withthe actual test condition, so the method is equally accurate.Range estimation, the image of Newton’s gravitational algorithm denoisingalgorithm and neighborhood difference method to determine the image enhancementalgorithm based on the piecewise point gray transform, using the image processingtechnology can improve the range estimation accuracy.Finally, to estimate the effect of distance under different weather conditions aregiven, and gives the estimated value of the same weather conditions time electrictheodolite four critical state of the role of distance, through the comparison of testingresults and actual field, it is also shown that the role of the distance estimation methodis feasible. |