Under the condition of information war, combat equipment is faced with the serious threat of "discovery is destruction". In the all-weather and all-day reconnaissance environment, the infrared spectrum characteristics of the target and its effective control become the key to change detectability and improve survivability.In view of the important value of infrared spectrum characteristics in battle, this paper carries out data collection and comprehensive processing of MWIR spectrum in equipment testing. Firstly, combining with typical task process, a data collection method is established, which forms a theoretical analysis, atmospheric transmission, data collection, radiometric calibration model. Then, the radiation data processing research is carried out. Taking the digital image as the original data, the radiation emittance is obtained by radiation calibration. Based on the transmittance and radiation model, the calculation method of apparent temperature is established. To verify the method proposed in this paper, combined with helicopter infrared image data, the distribution of MWIR radiation field and temperature field of the equipment during takeoff, landing and dynamic flight is obtained, reaching 5% calibration measurement accuracy.The feasibility and validity of the method are verified.In this paper, the collection and processing of infrared spectrum characteristics is a useful exploration to improve the quality and efficiency of equipment inspection capability. It has practical value for improving equipment data and fully characterizing equipment capability in the actual environment.
High precision time control in the use of weapons and equipment is an important part of product design and development. In order to satisfy the data acquisition requirement of high accuracy and reliability in the rapid flight process, the super-resolution time measurement method based on target dynamic characteristics was put forward and proved by the cabin opening time measurement experiment. First, the changes of explosion pressure wave and image in the cabin opening process were analyzed in detail. The change regulation of explosion flame shape was analyzed by the characteristics of typical pressure wave, and then the high frequency images of the explosion process were shot by high speed camera. The change regulation of the infrared image was obtained through the comparison of visible and infrared image mechanism. Then, combined with the target motion features, and the observed station parameters, the observation model of movement process was built. On the basis of the above research, the infrared characteristic and the movement characteristic were transformed, and the super resolution model was established. For test method, combined with the actual class time measuring process in experimental design, to obtain the special radar for measuring high precision open class time as the true value of the precision appraisal. Experimental results show that the infrared feature and motion feature can realize open class time super resolution measurement, can effectively improve the accuracy and reliability of the data, to achieve specific action of high accuracy measurement that plays an important role by making use of the target dynamic characteristics.
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