首页> 外文期刊>Journal of Communications Technology and Electronics >Application of Multiband Acoustooptical Filtering of Radiation to Solution of the Object Remote Identification Problems by the Method of Programmed Linear Separation of Multispectral Optical Signals in the Case of Reflection of a Wideband Light from Objects with A Priori Known Reflection Coefficients
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Application of Multiband Acoustooptical Filtering of Radiation to Solution of the Object Remote Identification Problems by the Method of Programmed Linear Separation of Multispectral Optical Signals in the Case of Reflection of a Wideband Light from Objects with A Priori Known Reflection Coefficients

机译:在先验已知反射系数的物体反射宽带光的情况下,通过程序线性分离多光谱光信号的方法,对辐射进行多带声光滤波以解决物体远程识别问题

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摘要

A new approach to solution of the problem of remote determination of spectrally complex optical signals and identification on this base of two objects out of a set of possible spatially inseparable objects located in one small ground pixel is considered. Computer simulation is performed; it is shown that the results of measurements of the mean powers of filtered signals at the outputs of two (or more) selected reference multiband acoustooptical filters (MAOFs) can ensure subsequent programmed (digital) separation of spectrally complex optical signals and identification of the objects corresponding to these signals. By the example of an arbitrarily chosen group of ten types of objects and three types of the background, computer verification of the new method is carried out with the use of realizable parameters of modern MAOFs. It has been found that, in conditions of the actual accuracy of setting and/or measuring of the energy of the main components of the problem (similar to 1%), this method can provide unambiguous correct decision about the type of the object located on part of a pixel with a probability of similar to 99.9%.
机译:考虑一种新方法,该方法解决了远程确定光谱复杂的光信号以及基于位于一个小地面像素中的一组可能在空间上不可分离的对象中的两个对象进行标识的问题。进行计算机模拟;结果表明,在两个(或多个)选定的参考多频带声光滤波器(MAOF)的输出处对滤波信号的平均功率进行测量的结果可以确保对光谱复杂的光信号进行后续的编程(数字)分离和物体识别对应于这些信号。以任意选择的一组十种对象和三种类型的背景为例,使用现代MAOF的可实现参数对新方法进行了计算机验证。已经发现,在设置和/或测量问题的主要成分的能量的实际准确性的条件下(类似于1%),该方法可以提供关于位于其上的物体类型的明确正确的决定。像素的一部分,概率接近99.9%。

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