Research On The Method Of Object Indication Of Hand-held Observation Instrument

The handheld observer system is a new type of target indication technology that integrates infrared and low-light fusion system and target positioning system.It is used in combat and command for target detection and manual geolocation.This new type of target indication technology can not only make target recognition and search more accurate,but also make target positioning more accurate.At present,the target indication technology is still less applied in the domestic army equipment systems,mainly used in vehicle systems,radar systems,ship combat systems and airborne systems.In this paper,the target indication technology is innovatively applied to army equipment.According to the technical requirements of hand-held observers,a method of achieving all-weather,real-time and high-precision target indication function is designed and applied to the system.The main research contents of this paper are as follows:Firstly,the traditional gray-scale image fusion method was researched.According to the technical requirements of all-weather,real-time target search and recognition of the handheld observer system,an improved fast non-subsampled contourlet transform(NSCT)image fusion algorithm was selected.By adopting this method,the source infrared image and the source low-light image collected by the handheld observer are merged.This method convolved the scale filter and directional filter separately in the composition of image decomposition and reconstruction,so as to reduce the number of image decomposition and reconstruction iterations,improve the efficiency of the algorithm,and ensure that the system works in real time.Then the several common color image fusion algorithms were further studied.Aiming at the different combat environments in which the handheld observer was applied,a color transfer fusion algorithm based on different scenes was selected to colorize the grayscale fusion image.This method took the gray image fused by the improved fast NSCT algorithm as the target imageand used the images of different scenes applied by the handheld observer system as reference images for color transfer.In the process of color transmission,a prominent factor was added to the target,and a color fusion image with clear texture and prominent target was obtained,which improved the operation efficiency.Secondly,the basic principles of target positioning were studied,and the methods of target positioning were analyzed in detail.According to the all-weather,real-time target indication application environment of the handheld observer system,A method combining the positioning technology of pulsed laser ranging and geolocation was adopted.By establishing a mathematical model of geolocation matched with the handheld observer and combining the transformation relationship between the four coordinate systems,the mathematical expression of the target geodetic coordinates were finally solved.Finally,the experiment and analysis of the target indication system of the handheld observer were completed.The gray-scale and color fusion algorithms and target positioning method used in this paper were experimentally verified.Target instructions by targeting 2.3meters by 4.6 meters from 600 meters and 0.2 meters by 1.8 meters from 200 meters,including Image fusion highlighted the target and geolocated target.Conclusion:for targeted 600 meters away and people 200 meters away,the contrast and sharpness of the fused grayscale and color images have been significantly improved,which was helpful for the human eye to find targets and understand the scene.The single point positioning accuracy did not exceed 5 meters,and the maximum standard deviation was 1.799 meters,which indicated that the target positioning method in this paper had high positioning accuracy and good stability.