Dynamic infrared camouflage can need to change according to the background, and quickly from a state of camouflage into another state of camouflage. The image characteristics of various infrared camouflage states weak correlation, can make the infrared surveillance and tracking, target infrared characteristics of the real difficulty of the guidance system, unable to complete the target reconnaissance and combat, so as to improve the battlefield survivability of the target. According to different background conditions, infrared camouflage algorithm is adopted to realize infrared camouflage for equipment, so that equipment and background can be integrated. The evaluation of camouflage effect needs to be carried out through corresponding methods. Based on the principles of evaluation index selection, and given to evaluation object, evaluation purpose and evaluation method, constructs the evaluation index system, comprehensive selection of brightness contrast and color features, texture features three evaluation indexes. Combined with the specific test, the infrared camouflage effect was evaluated, the indicators were analyzed, and all the indicators were comprehensively analyzed according to the weight value. Finally, the optimal state for the comprehensive evaluation of the camouflage effect was given.
Judging from the information war in recent years, the future battlefield UAV will play a huge role. The length of the endurance has become one of the main factors limiting its performance. Using laser beam to charge the flying UAV in real time is a powerful means to greatly extend its endurance and improve its operational efficiency. Accurate target tracking of the charging panels on the aerial flying UAV is a key technology for the subsequent laser beam charging. Aimed at the target tracking module of UAV laser charging system, hardware and software are designed respectively. The structure of each part of the hardware system and the related parameters are analyzed. The software design process and key algorithms are described. In this paper, the target tracking aiming test is carried out by combining the charging panel of the UAV, and various error factors in the process of target tracking aiming are analyzed.
Using laser features of high brightness and good directivity, can undertake directional transmission of energy, laser charging technology transforms the energy supply way with its own carrying to charge at any time. The key to laser alignment is to identify the target of the charging panel and locate the center. Through the control of the servo module, the battery charging plate can be adjusted to the center of the field of view to complete laser alignment charging. Object recognition and center location algorithm are mainly divided into three steps: image preprocessing, rectangle panel identification and center positioning. Through this, the center positioning is realized, and the center positioning of the panel charged by laser is carried out for rotorcraft with different distances and angles, so as to achieve a better effect.
Low-light level night vision device and thermal infrared imaging binocular photoelectric instrument are used widely. The maladjustment of binocular instrument ocular axises parallelism will cause the observer the symptom such as dizziness, nausea, when use for a long time. Binocular photoelectric equipment digital calibration instrument is developed for detecting ocular axises parallelism. And the quantitative value of optical axis deviation can be quantitatively measured. As a testing instrument, the precision must be much higher than the standard of test instrument. Analyzes the factors that influence the accuracy of detection. Factors exist in each testing process link which affect the precision of the detecting instrument. They can be divided into two categories, one category is factors which directly affect the position of reticle image, the other category is factors which affect the calculation the center of reticle image. And the Synthesize error is calculated out. And further distribute the errors reasonably to ensure the accuracy of calibration instruments.
The maladjustment of photoelectric instrument binocular optical axis parallelism will affect the observe effect directly. A binocular optical axis parallelism digital calibration system is designed. On the basis of the principle of optical axis binocular photoelectric instrument calibration, the scheme of system is designed, and the binocular optical axis parallelism digital calibration system is realized, which include four modules: multiband parallel light tube, optical axis translation, image acquisition system and software system. According to the different characteristics of thermal infrared imager and low-light-level night viewer, different algorithms is used to localize the center of the cross reticle. And the binocular optical axis parallelism calibration is realized for calibrating low-light-level night viewer and thermal infrared imager.
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