Infrared characteristics of the target show some surface features of targets. By analyzing the infrared characteristics of the targets, specific properties and working condition of targets can be obtained. By studying the methods of the infrared properties of the targets, we can get a method of extracting the target surface characteristics. Actual spectral irradiance is calculated according to the dimension reduction and target’s infrared signal. Optimization model can be obtained by matching the theoretical formula of target’s irradiance with actual spectral irradiance. Equivalent temperature and equivalent area of target can be calculated by optimization methods.
In some professional image application fields, we need to test some key parameters of the CMOS camera and evaluate the performance of the device. Aiming at this requirement, this paper proposes a perfect test method to evaluate the CMOS camera. Considering that the CMOS camera has a big fixed pattern noise, the method proposes the ‘photon transfer curve method’ based on pixels to measure the gain and the read noise of the camera. The advantage of this method is that it can effectively wipe out the error brought by the response nonlinearity. Then the reason of photoelectric response nonlinearity of CMOS camera is theoretically analyzed, and the calculation formula of CMOS camera response nonlinearity is deduced. Finally, we use the proposed test method to test the CMOS camera of 2560*2048 pixels. In addition, we analyze the validity and the feasibility of this method.
The infrared characteristic simulation of the target is the basis of true and false infrared target recognition. With the development of stealth technology, imaging features of the decoy in the detector are more and more close to the real target, so it is not easy to distinguish between the target and decoy by using information acquired from single-band infrared detector. Based on this, in the paper infrared imaging properties of the target in a number of bands are simulated and analyzed, followed by fusing the characteristic differences of multiple bands between true and false target for classification and recognition. First of all, we construct the geometrical model of target and decoy in a simple background, and then the model of infrared radiation is built. What is more, in accordance with laws of infrared radiation and other relevant laws, the characteristics of target and decoy under the condition of different bands are analyzed. Experimental results show that the proposed multi-band target simulation and analysis method can effectively identify the target and decoy in the same field of view.
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