In order to improve the signal-to-noise ratio(SNR) of point target detection in the air, this paper takes two types of typical aircraft as targets, fully considers the various influencing factors on the detection link, establishes the SNR model, and optimizes the detection spectrum in the range of 2-12μm. The spectrum optimization method is to select the center wavelength and bandwidth with the SNR as the objective function. The first step is to calculate the SNR-central wavelength curve in the range of 2-12μm when Δλ=0.02μm to determine the center wavelength position of the peak SNR. The second step is to change the bandwidth and calculate the band with the largest SNR near the selected center wavelength. The optimal spectrum in a typical infrared point target detection scene is calculated through an example of spectrum selection, and the influence of target characteristics and background characteristics on the results of spectrum optimization is analyzed. Finally, the image of the point target in the air taken by the GF-5 full-spectrum spectral imager is used to verify the SNR model and the method of spectrum optimization. The results show that the model of the SNR and the method of spectrum optimization are effective.
It was considered to get interferometry data from microlens array and reconstruct initial image through it directly, while which used to be taken to calculate the phase difference to get the structure of objects in measurement technology. It broke through the depend of resolution improvement on the size of apertures, reducing the volume of image system vastly. Nevertheless, on account of the phase deficiency, this method could not show the details well enough to be generally used in measurement and control systems. Through support estimation of the target, with the feature extraction technology, the deconvolution function could be got, by which the sidelobe and pinniform structure in the “ditry” image caused by the lack of frequency could be eliminated, and phase retrieval was done. Simulation did the reconstruction experiment, yet had got relatively good detail presentations.
High resolution and large FOV represents the developing trends of space optical imaging systems, Considering the characters of infrared optical systems, A low cost and low technical risk method of optical butting concept which offer the promise of butting smaller arrays into long linear detector assemblies is presented in this paper, the design method of optical butting is described, and a hypothetical system is demonstrated as well.
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