Based on one-dimensional photonic crystals (1D PCs), we studied an innovative multispectral compatible stealth material for visible light, infrared, and 1.06-μm laser. The fabricated PCs had advantages of different colors, low emissivity in the atmospheric windows, and low reflectance at 1.06-μm waveband. According to some relevant experiments, the prepared films possessed colors of yellow, green, and blue, which could be used to simulate the color of the desert, woodland, and ocean, respectively. The infrared stealth performance of films showed that the thermal radiation in the atmospheric windows of 3 to 5 μm and 8 to 14 μm could be reduced effectively. In addition, the films’ reflectance spectra measured by spectrometer indicate that the reflectance at 1.06 μm is below 20%, which, in practice, could enormously reduce the echo power of incident lasers.
In order to verify the heat dissipation characteristics of selective low emissivity materials, the traditional low emissivity materials and selective low emissivity materials were coated on the oxidized steel surface, and the heat transfer model between the target and the dark room was established. Finally, the heat dissipation characteristics of selective low emissivity materials were simulated, and the effects of the emissivity and the darkroom temperature on the heat dissipation characteristics of selective low emissivity materials were analyzed. The results showed that for high temperature targets, selective low emissivity materials had better heat dissipation characteristics than traditional low emissivity materials. The lower the emissivity in mid-far infrared bands, the better the heat dissipation characteristics of selective low emissivity materials. When the ambient temperature of the dark room fell from 30°C to -30°C, the lower the temperature, the better heat dissipation characteristics of selective low emissivity materials.
This paper reports on a new computer-aided method for the infrared camouflage effectiveness evaluation of a target based on its image saliency. The image saliency of a target was computed according to its background-related features, including intensity, contrast, gradient and orientation features in one real infrared image. On the basis of the former saliency value, the camouflage effectiveness value of a target was calculated quantitatively. The results clearly indicated that the target without infrared camouflage had a low camouflage effectiveness value, while a target with good infrared camouflage (the camouflage pattern patches of the target matched well with the background) had a high camouflage effectiveness value, which proved that this method could not only reflect the infrared camouflage effectiveness of a target in the corresponding background actually but also help us differentiate the camouflage quality of different materials quantitatively. This method should be of importance for us to evaluate the infrared camouflage effectiveness of a target more quickly and objectively with the help of computers, instead of human observations.
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