Computational imaging techniques are of great interest to simplify the architecture of imaging devices since random illuminations of a scene enable its reconstruction from few measurements by solving an inverse problem. Here, we present a passive system for imaging of thermal sources in the microwave range from the cross-correlation of noise signals recorded by only two channels. The channels are attached to a high Q-factor chaotic cavity with a leaky aperture on its front side. The spatial distribution of noise sources is encoded onto the broadband spectrum of the cross-correlation and can be reconstructed from the sensing matrix mapping the uncorrelated far-field speckle patterns of the cavity onto a set of frequencies. We demonstrate imaging of localized and extended thermal sources and show that the polarization of those radiations can be discriminated. Moreover, we exhibit the effectiveness of the proposed system as a compressive imaging device which exploits the natural randomness of the speckle pat...

中文翻译：

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具有泄漏混沌腔的热源的计算被动成像

计算成像技术在简化成像设备的架构方面非常有趣，因为场景的随机照明能够通过解决逆问题从少量测量中重建。在这里，我们提出了一种被动系统，用于根据仅由两个通道记录的噪声信号的互相关对微波范围内的热源进行成像。通道连接到一个高 Q 因子混沌腔，其前侧有一个漏孔。噪声源的空间分布被编码到互相关的宽带谱上，并且可以从将腔体的不相关远场散斑图案映射到一组频率上的传感矩阵重建。我们展示了局部和扩展热源的成像，并表明可以区分这些辐射的极化。此外，我们展示了所提出的系统作为一种压缩成像设备的有效性，它利用了散斑图案的自然随机性......