Spectral emissivity has important research significance and application value in the field of national defense and medicine. Establishment of a target infrared radiance model based on Support Vector Machine Neural Network (SVM), this model is used for network training of test samples,infrared radiance models of 3-5mm and 8-12mm bands are established,then calculate the spectral emissivity of the target under different wavelength. Verification by comparison of standard blackbody, the spectral emissivity of the SVM network model is compared with the actual spectral emissivity of blackbody, the maximum relative error is less than 1.1%, and this method is applied to the calculation of spectral emissivity of stealth coated steel plate for aircraft.
The interactive demonstration system currently in common use mostly uses specialized hardware, which is insufficient in application scenarios and the selling price is expensive.The most common projection presentation systems often do not have interactive features that influenced the result of presentation.Based on the projection demonstration system, this paper adds video-based hand gesture recognition technology to make the projection system have interactive functions. The interaction system function is composed of three modules: interaction area detection, gesture detection and recognition, tracking and interaction. The preprocessing module is mainly responsible for detecting and locating the interaction area. The gesture detection and recognition module are used to detect and identify specific gestures that occur within the interaction area. The tracking and interaction module implement tracking of the user's gesture through Kalman filtering, and operates the virtual hardware according to the gesture recognition result to realize human-computer interaction. The system has been extensively tested in complex environments, it shows robustness to lighting variations and complex backgrounds with an average accuracy of 85.2%. In addition, with CPU-GPU parallel computing, the average processing speed reaches 15 frames per second, which has better real-time processing capability. The proposed system only introduces a webcam based on the original projection system. The whole system is simple in structure and does not depend on specialized hardware. The software uses open source image and video processing tools with Python language to achieve high portability.