Research Of The Key Technologies For Information Acquisition In The Small Compact Uncooled Short Wave Infrared Camera

Short wave infrared imaging systems are widely applied in remote sensing,national defense,military,environmental disaster reduction,biomedicine and other fields due to its characteristics of matching atmospheric window,night vision effect and penetrating fog and haze.Uncooled short wave infrared detectors are more and more used in the short wave infrared systems for the characteristics of compact size,low power consumption and the ability to work at normal temperature.With the development of the uncooled detector,the performance is increasing gradually approaching the refrigerated detector,and the market share is increasing annually.In this paper,we developed an information acquisition and processing system in the compact uncooled short wave infrared imaging system with low power consumption in the background of low irradiance detection.The research on the stable control of the temperature of the detector substrate is carried out and so is the research of the non-uniformity correction based on the nonlinear model.The main content and the research findings are list below:(1)Developed a new driving system of low noise and high sensitivity based on the 320×256 InGaAs detector developed by Shanghai Institute of Technical Physics of the Chinese Academy of Sciences,and studied the noise in analogous circuits.Low noise design is carried out from the levels of chip selecting choices and board level.Imaging results were evaluated and the intended targets were achieved.The possibility of the imaging during the night was analyzed and the imaging results of the short wave infrared camera were compared with the pictures acquired with the visible light camera.The results showed that short wave infrared camera did better in imaging during the night.(2)The relationship between the imaging quality and the working temperature of the substrate was studied.A closed loop temperature control system based on the integrated thermoelectric cooler was designed to stabilize the temperature of the detector substrate.The results showed that the system designed was stable and effective in refrigeration,and the substrate temperature kept at a low level and kept stable,which could effectively reduce the temporal noise and spatial noise of the detector,and maintain the stability of the imaging DN value.(3)The correction error caused by traditional linear model was analyzed aiming at the non-linear response of the short wave infrared detector in low irradiance condition.A new neural network non-uniformity correction algorithm based on the non-linear model was proposed,and night imaging experiments were carried out based on the short wave infrared imaging system designed in this paper.The roughness of the picture and the local non-uniformity is used to prove the effectiveness of the algorithm,of which the local non-uniformity had declined 27% compared to the traditional algorithm and the roughness declined 28%.