5 results about "Infrared imagery" patented technology

The application discloses an infrared image generation method and system based on a physical prior constraint generative adversarial network, relates to the field of infrared image generation, and aims to solve the problems of insufficient physical reality and lack of representation ability of infrared radiation characteristics of the existing infrared image generation method. The application first designs a physical prior knowledge learning network, which is used to learn the prior representation related to the infrared radiation characteristics from the infrared image, and realizes the prediction of the infrared radiation related parameters through a deep learning network. Secondly, a generative adversarial network based on the physical prior constraint is designed based on the proposed physical prior knowledge learning network, the physical prior features are introduced into the image generation process, and the learning ability of the generator to the overall distribution of the infrared radiation and the representation ability of the generator to the infrared radiation characteristics are enhanced. The method breaks through the limitation that the traditional generator only relies on shallow texture mapping. The application is suitable for the fields of visible light to infrared image generation, infrared vision algorithm research and development.

The utility model relates to the technical field of intelligent bird repelling, in particular to an intelligent all-weather bird repelling device which comprises a base, a connecting seat, a radar detector and a connecting frame, the connecting seat is rotationally arranged on the base, the radar detector is installed on the connecting seat, and the connecting frame is fixedly connected to the connecting seat. Radio waves are emitted through a radar detector, the radio waves are reflected back when encountering birds, after a radar receives reflected signals, a camera monitors the birds by capturing images, the computer vision technology is used for analysis and recognition, and an infrared temperature detector measures the infrared radiation quantity of the surrounding environment. According to the device, the infrared image is extracted from the infrared image to confirm whether the birds exist or not, so that the device is a triple detection mechanism, different environments are adapted, the situation of misjudgment or missing detection is avoided, and when one of the three detection components detects the birds, a signal is transmitted to the controller, so that the controller starts the alarm and the laser transmitter to repel the birds.

The invention discloses an infrared moving target detection method and device fused with gyroscope information, and the method comprises the steps: collecting the infrared image data of a fixed frame rate, and collecting the angular rate data of a pitch angle and an azimuth angle in real time; the attitude angle variation in the continuous time period is calculated through a numerical integration method; according to the attitude angle variation, combining a geometrical relationship between a sensor and an image coordinate system, and performing conversion to obtain pixel-level offsets of each frame of image in a pitching direction and an azimuth direction; performing image calibration processing on the continuously acquired infrared image sequence; calculating the gray difference of corresponding pixel points in the adjacent frame images to generate a difference image; morphological operation is carried out on the difference image to remove image noise, fill a hole in a target area and smooth a target boundary; and a target contour in the differential image is extracted through a contour detection algorithm, and accurate positioning and segmentation of the moving target are realized. The method can improve the detection precision of the moving target.

The invention discloses an infrared interference efficiency evaluation method and system based on a multi-scale Gaussian-wavelet energy suppression ratio, and mainly solves the problem of lack of description of actual space-time characteristics in the prior art. According to the scheme, the method comprises the steps that an infrared simulation scene containing an aircraft and a decoy missile is constructed, the infrared radiation intensity of the scene is calculated, and a simulation infrared image sequence is generated through a sensor imaging model; performing multi-scale Gaussian smoothing and multilayer wavelet decomposition based on the sequence, extracting high-frequency sub-band and low-frequency sub-band features under each scale, and performing feature fusion; calculating the Gaussian-wavelet transform suppression ratio of the aircraft and the decoy projectile under multiple scales based on the fusion features, and generating a suppression ratio coefficient matrix; performing continuous centroid tracking on the aircraft and the decoy projectile in the time domain to accumulate the motion trail and spatial-temporal characteristic data of energy distribution of the aircraft and the decoy projectile; and integrating the spatial-temporal characteristic data and the suppression ratio coefficient matrix to evaluate the infrared interference efficiency, and deciding an optimal tracking object. The method can accurately reflect the deep spatial-temporal characteristic difference of the aircraft and the decoy projectile, improves the accuracy of infrared interference efficiency evaluation, and can be used for system combat, anti-guided air defense and intelligence analysis.

This invention relates to the technical field of infrared imaging, specifically to an automatic imaging control method and system for infrared imaging to combat stray light. The method includes: acquiring image data and corresponding stray light data; determining the stray light imaging influence degree based on device temperature time-series data and light intensity time-series data; correcting the stray light imaging influence degree based on dust particle concentration data to obtain a strong stray light tendency coefficient; the strong stray light tendency coefficient is used to characterize the comprehensive probability of strong stray light interference in the infrared image; determining the comprehensive stray light resistance stability based on the texture difference of the image data and the radiometric stability value corresponding to the infrared image; determining the stray light suppression urgency based on the comprehensive stray light resistance stability and the strong stray light tendency coefficient; and determining the target imaging control mode based on the stray light suppression urgency and a preset threshold, so that the infrared imager performs adaptive imaging control according to the target imaging control mode. This invention can improve the accuracy of stray light imaging control during infrared imaging.