| The photoelectric detection system is one of the key loads for satellite to detect targets and perform tasks.In the process of remote sensing and earth observation,there are various sudden tasks,changing environment and changing targets.Most of the traditional photoelectric detection systems can only detect a single special task,and cannot independently optimize the observation tasks.It is difficult to adapt to the task requirements fastly,accurately and flexibly.The future application market needs a system to do a variety of tasks,taking into account the detection and identification of different mission objectives.In this paper,the research and design of adaptive intelligent photoelectric detection system is carried out.By using the fine feature spectrum of the targets and adaptive algorithms,the system parameters can be adjusted adaptively.The main research contents and results are as follows:(1)Research on the concept,mechanism and implementation of intelligent photoelectric detection system.Intelligent photoelectric detection system has semi-intelligence and full intelligence modes.To meet the requirements of multiple types of different target detection and identification,the system can automatically adjust the system's working band,aperture,integration time,gain and focal length according to different task requirements on the board.The main process of intelligent tuning is as follows: After receiving the task requirements,the system selects the detection modes and sets the preliminary parameters through the parameter library.then analyzes and calculates the measured data,and adjusts the system parameters according to the feedback of the adjustment strategy until the optimal imaging mode is reached.(2)The design scheme of the structure of the intelligent photoelectric detection system is proposed.The system structure includes a detection module and an autonomous data processing module.The detection module realizes the switching of the imaging dimension and the spectral dimension.The spectral dimension scan the full band spectrum and the imaging dimension selects the appropriate band for imaging.The autonomous data processing module adopts the structure of DSP+FPGA+ARM,taking into account the speed and flexibility to achieve efficient data processing.(3)The techniques of predicting targets and background,and automatically selecting working band by spectrum data are proposed.Experiments are about the UAV target in the background of sky and the static targets in the background of wall,and automatic band selection technique is verified and analyzed.The spectral scanning band is 400-1000 nm.Calculate the integrated signal-to-noise ratio of different wavelengths and make 0.7 times of the maximum value as the threshold to select the band.The result of the band selection conforms to the actual detection result.(4)The adaptive parameter adjustment method is studied for surface targets and point targets respectively.For surface targets,the image gray value function is selected as the criterion for automatic exposure,the Brenner function is selected as the sharpness evaluation function for autofocus,and the adaptive threshold algorithm is used to realize the automatic zoom in a simple background.For point targets,the integrated signal-to-noise ratio is used as the adjustment criterion.This paper uses the visible light camera of IMPERX and the three variable lens of Kowa Company to verify the feasibility of the parameter adjustment algorithm of surface targets.This paper presents the design scheme of the intelligent photoelectric detection system,and verifies the rationality and feasibility of some algorithms.The adaptive intelligent photoelectric detection system proposed in this paper can adjust the system parameters according to different task requirements,and achieve the fusion of various tasks,which can not only ensure the completion quality of diverse detection tasks,but also reduce the number of devices,system overhead,and improve the system's working efficiency. |
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