title: [Research on Multi-Spectral Target Recognition System Based on the Magneto-Optical Modulation].
abstract: The technology of target recognition based on characteristic multi-spectrum has many advantages, such as strong detection capability and discriminating capability of target species. But there are some problems, it requires that you obtain the background spectrum as a priori knowledge, and it requires that the change of background spectrum is small with time. Thereby its application of real-time object recognition is limited in the new environment, or the complex environment. Based on magneto-optical modulation and characteristic multi-spectrum the method is designed, and the target is identified without prior access to the background spectrum. In order to achieve the function of the target information in the one acquisition time for tested, compared to conventional methods in terms of target detection, it's adaptability is better than before on the battlefield, and it is of more practical significance. Meanwhile, the magneto-optical modulator is used to suppress the interference of stray light background, thereby improving the probability of target recognition. Since the magneto-optical modulation provides incremental iterative target spectral information, therefore, even if the unknown background spectrum or background spectrum change is large, it can significantly improve the recognition accuracy of information through an iterative target spectrum. Different test targets back shimmering light intensity and background intensity values were analyzed during experiments, results showed that three targets for linearly polarized reflectance modulation is significantly stronger than the background. And it was of great influence to visible imaging target identification when measured target used camouflage color, but the system of polarization modulation type can still recognize target well. On this basis, the target range within 0.5 km x 2 km multi-wavelength characteristics of the target species were identified. When using three characteristic wavelengths, the probability of target identification significantly reduced at around 2km, when using four or five characteristic wavelength position, the probability of target identification reach up to more than 95.0%. Meanwhile, in order to reduce the calculation and improve the real-time detection capability of the system, finally, four characteristic wavelengths was selected. So the system has a certain application value.
authors.forename: Xiao-yan
authors.initials: XY
authors.lastname: Yan
authors.forename: Jian-min
authors.initials: JM
authors.lastname: Qin
authors.forename: Ji-pin
authors.initials: JP
authors.lastname: Qiao